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Academic literature on the topic 'Objective Baye'

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Published: 9 March 2023
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Journal articles on the topic "Objective Baye"

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Held, Leonhard. "An objective Bayes perspective onp-values." Biometrical Journal 59, no. 5 (May 24, 2017): 886–88. http://dx.doi.org/10.1002/bimj.201700068.

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Villa, Cristiano, and Stephen G. Walker. "An objective Bayes factor with improper priors." Computational Statistics & Data Analysis 168 (April 2022): 107404. http://dx.doi.org/10.1016/j.csda.2021.107404.

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Hoijtink, Herbert. "Objective Bayes Factors for Inequality Constrained Hypotheses." International Statistical Review 81, no. 2 (June 13, 2013): 207–29. http://dx.doi.org/10.1111/insr.12010.

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Leon-Novelo, Luis, Elías Moreno, and George Casella. "Objective Bayes model selection in probit models." Statistics in Medicine 31, no. 4 (December 12, 2011): 353–65. http://dx.doi.org/10.1002/sim.4406.

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Daniel, J. Sudhir Ryan, and Chandrasekharan Rajendran. "Heuristic approaches to determine base-stock levels in a serial supply chain with a single objective and with multiple objectives." European Journal of Operational Research 175, no. 1 (November 2006): 566–92. http://dx.doi.org/10.1016/j.ejor.2005.04.039.

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Wei, Xin. "Multi-Objective Optimization Base on Incremental Pareto Fitness." Advanced Materials Research 1030-1032 (September 2014): 1733–36. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1733.

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A new multi-objective optimization algorithm based on incrementally Pareto fitness is proposed in this paper. To overcome the directly calculate the Pareto fitness matrix expensively, we adopt to make full use of information of last iteration at each stept to update the Parteto fitness matrix gradually. Experiments proved the highest efficiency of the new method.
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Consonni, Guido, Luca La Rocca, and Stefano Peluso. "Objective Bayes Covariate-Adjusted Sparse Graphical Model Selection." Scandinavian Journal of Statistics 44, no. 3 (March 29, 2017): 741–64. http://dx.doi.org/10.1111/sjos.12273.

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Diciccio, T. J., and G. A. Young. "Objective Bayes and conditional inference in exponential families." Biometrika 97, no. 2 (April 15, 2010): 497–504. http://dx.doi.org/10.1093/biomet/asq002.

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Lupiani, Eduardo, Stewart Massie, Susan Craw, Jose M. Juarez, and Jose Palma. "Case-base maintenance with multi-objective evolutionary algorithms." Journal of Intelligent Information Systems 46, no. 2 (September 21, 2015): 259–84. http://dx.doi.org/10.1007/s10844-015-0378-z.

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YASUE, Masaaki, Koichi KOBAYASHI, and Shinichiro TAMORI. "MULTI-OBJECTIVE OPTIMAL DESIGN OF BASE ISOLATED DEVICE IN BASE-ISOLATED STRUCTURE." Journal of Structural and Construction Engineering (Transactions of AIJ) 75, no. 655 (2010): 1645–52. http://dx.doi.org/10.3130/aijs.75.1645.

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Dissertations / Theses on the topic "Objective Baye"

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PETRAKIS, NIKOLAOS. "Objective Bayes Structure Learning in Gaussian Graphical Models." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2020. http://hdl.handle.net/10281/262921.

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Graphical models are used to represent conditional independence relationships among variables by the means of a graph, with variables corresponding to graph's nodes. They are widely used in genomic studies, finance, energy forecasting, among other fields. More specifically, for a collection of q variables with conditional independence structure represented by an undirected graph, we assume that the underlying graph's structure is unknown. We are interested in inferring the graph's structure from data at hand. This procedure the bibliography is referred to as Structure Learning, where we use certain techniques for selecting a graphical model to depict conditional independence relationships between these q variables. We start from defining a model space which is consisted by a set of all possible graphical models; then we define a scoring function which enables us to score the different models of the model space and finally, we construct a search algorithm that will navigate through the model space to identify the optimal model that explains the problem at hand. The choice of a scoring function is crucial for optimizing the search procedure through the model space. Our approach to this problem is purely Bayesian for handling uncertainty in a more elaborate fashion. We will use estimates of posterior model probabilities for ranking the models at hand. The specification of a conditional prior on the column covariance matrix is not trivial because each graph under consideration induces a different independence structure and it affects the parameter space. Under this context, we cannot directly use improper priors, since they would result to indeterminate Bayes factors, thus we are required to carefully elicit a prior distribution under each graph, a task that becomes infeasible in higher dimensions. For creating an automated Bayesian scoring technique, we resort to Objective Bayes approaches, which are initiated by an improper prior distribution and their output is a fully usable prior distributions. In this thesis, we propose the use of two alternative Objective Bayes approaches for estimating posterior probabilities of models, namely the Expected Posterior prior approach and the Power-Expected Posterior Prior approach. Both approaches utilize the device of imaginary observations for providing usable prior distributions and are theoretically sounder than the Fractional Bayes Factor of O'Hagan. Our goal is to introduce both the Expected and Power-Expected Posterior prior approaches to the field of structure learning of undirected graphical models and evaluate their performance using certain stochastic search techniques. Diverse simulation scenarios are considered as well as a real-life data application.
Graphical models are used to represent conditional independence relationships among variables by the means of a graph, with variables corresponding to graph's nodes. They are widely used in genomic studies, finance, energy forecasting, among other fields. More specifically, for a collection of q variables with conditional independence structure represented by an undirected graph, we assume that the underlying graph's structure is unknown. We are interested in inferring the graph's structure from data at hand. This procedure the bibliography is referred to as Structure Learning, where we use certain techniques for selecting a graphical model to depict conditional independence relationships between these q variables. We start from defining a model space which is consisted by a set of all possible graphical models; then we define a scoring function which enables us to score the different models of the model space and finally, we construct a search algorithm that will navigate through the model space to identify the optimal model that explains the problem at hand. The choice of a scoring function is crucial for optimizing the search procedure through the model space. Our approach to this problem is purely Bayesian for handling uncertainty in a more elaborate fashion. We will use estimates of posterior model probabilities for ranking the models at hand. The specification of a conditional prior on the column covariance matrix is not trivial because each graph under consideration induces a different independence structure and it affects the parameter space. Under this context, we cannot directly use improper priors, since they would result to indeterminate Bayes factors, thus we are required to carefully elicit a prior distribution under each graph, a task that becomes infeasible in higher dimensions. For creating an automated Bayesian scoring technique, we resort to Objective Bayes approaches, which are initiated by an improper prior distribution and their output is a fully usable prior distributions. In this thesis, we propose the use of two alternative Objective Bayes approaches for estimating posterior probabilities of models, namely the Expected Posterior prior approach and the Power-Expected Posterior Prior approach. Both approaches utilize the device of imaginary observations for providing usable prior distributions and are theoretically sounder than the Fractional Bayes Factor of O'Hagan. Our goal is to introduce both the Expected and Power-Expected Posterior prior approaches to the field of structure learning of undirected graphical models and evaluate their performance using certain stochastic search techniques. Diverse simulation scenarios are considered as well as a real-life data application.
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ARTARIA, ANDREA. "Objective Bayesian Analysis for Differential Gaussian Directed Acyclic Graphs." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/55327.

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Often we are confronted with heterogeneous multivariate data, i.e., data coming from several categories, and the interest may center on the differential structure of stochastic dependence among the variables between the groups. The focus in this work is on the two groups problem and is faced modeling the system through a Gaussian directed acyclic graph (DAG) couple linked in a fashion to obtain a joint estimation in order to exploit, whenever they exist, similarities between the graphs. The model can be viewed as a set of separate regressions and the proposal consists in assigning a non-local prior to the regression coefficients with the objective of enforcing stronger sparsity constraints on model selection. The model selection is based on Moment Fractional Bayes Factor, and is performed through a stochastic search algorithm over the space of DAG models.
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Kuffner, Todd Alan. "Objective Bayes and conditional frequentist inference." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/7134.

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Objective Bayesian methods have garnered considerable interest and support among statisticians, particularly over the past two decades. It has often been ignored, however, that in some cases the appropriate frequentist inference to match is a conditional one. We present various methods for extending the probability matching prior (PMP) methods to conditional settings. A method based on saddlepoint approximations is found to be the most tractable and we demonstrate its use in the most common exact ancillary statistic models. As part of this analysis, we give a proof of an exactness property of a particular PMP in location-scale models. We use the proposed matching methods to investigate the relationships between conditional and unconditional PMPs. A key component of our analysis is a numerical study of the performance of probability matching priors from both a conditional and unconditional perspective in exact ancillary models. In concluding remarks we propose many routes for future research.
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Pruvost, Geoffrey. "Contributions à l’optimisation multi-objectif à base de décomposition." Thesis, Université de Lille (2018-2021), 2021. http://www.theses.fr/2021LILUB026.

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Dans cette thèse, nous nous intéressons à l'optimisation combinatoire multi-objectif, et en particulier aux algorithmes évolutionnaires à base de décomposition. Ce type d'approches consiste à décomposer le problème multi-objectif original en plusieurs sous-problèmes mono-objectif, qui sont alors résolus de façon coopérative. Dans ce cadre, nous considérons la conception et l'analyse de nouveaux composants algorithmiques contribuant à la mise en place des fondations d'un framework d'optimisation à base de décomposition pour les problèmes combinatoires multi-objectif dits "boîte-noire", pour lesquels la forme analytique des fonctions objectif n'est pas connue de l'algorithme de résolution. Tout d'abord, nous étudions les éléments clés pour une meilleure répartition des efforts de calculs tout au long du processus d'optimisation. Pour cela, nous étudions l'impact conjoint de la taille de la population et du nombre de solutions générées par itération, tout en proposant différentes stratégies de sélection du ou des sous-problèmes à optimiser à chaque étape. Nous étudions ensuite différents mécanismes permettant de s'échapper des optima locaux. Ceux-ci s'inspirent de techniques issues de l'optimisation mono-objectif, et permettent d'améliorer considérablement le profil de convergence des approches considérées. Nous nous plaçons pour finir dans un contexte d'optimisation coûteuse, où l'évaluation de chaque solution s'avère particulièrement gourmande en temps de calcul, ce qui limite considérablement le budget alloué à l'optimisation. Pour cela, nous étudions de nouveaux composants s'appuyant sur des méta-modèles combinatoires, et nous considérons leur intégration au sein d'approches évolutionnaires multi-objectif basée sur la décomposition
In this thesis, we are interested in multi-objective combinatorial optimization, and in particular in evolutionary algorithms based on decomposition. This type of approaches consists in decomposing the original multi-objective problem into multiple single-objective sub-problems that are then solved cooperatively. In this context, we consider the design and the analysis of new algorithmic components contributing to the establishment of the foundations of an optimization framework based on decomposition for multi-objective combinatorial problems known as "black box", i.e., for which the analytical form of the objective functions is not available to the solving algorithm. First of all, we investigate the key components for a better distribution of the computational efforts during the optimization process. To this end, we study the joint impact of the population size and of the number of solutions generated at each iteration, while proposing different strategies for selecting one ore multiple sub-problem(s) to be optimized at each stage. We then study different mechanisms allowing to escape from local optima. They are inspired by techniques from single-objective optimization, and we show they can significantly improve the convergence profile of the considered approaches. Finally, we consider the context of expensive optimization, where the evaluation of each solution is particularly intensive in terms of computational resources. This hence drastically restrict the budget allocated to the optimization process. As such, we investigate new components based on combinatorial meta-models, and we consider their integration within decomposition-based multi-objective evolutionary approaches
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Rossini, Luca <1987&gt. "Contributions to bayesian nonparametric and objective Bayes literature." Doctoral thesis, Università Ca' Foscari Venezia, 2016. http://hdl.handle.net/10579/10292.

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The thesis contributes to the literature on Bayesian nonparametrics by proposing two approaches, the first one related to time series analysis with a focus on sparsity of the matrix of coefficients and the second one to conditional copula models with an application to twin data. On the other hand, the thesis contributes to the literature on the analysis of the Yule-Simon distribution by proposing two objective priors on the parameter of the distribution and a Gibbs sampling algorithm for the analysis of the posterior distribution.
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Frye, Jake. "Performance-objective design of a wind-diesel hybrid energy system for Scott Base, Antarctica." Thesis, University of Canterbury. Mechanical Engineering, 2006. http://hdl.handle.net/10092/1157.

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New Zealand's Antarctic research station, Scott Base, is currently 100% reliant on aviation turbine fuel and existing diesel generator sets to produce the heat and electricity necessary to sustain staff activities. Decreasing fuel consumption at Scott Base has benefits economically, politically and environmentally. A method of reducing fuel consumption and increasing base independence that is receiving considerable attention from Antarctica New Zealand is the addition of wind power to the existing energy system. A performance-objective design of a wind-diesel hybrid energy system for Scott Base is proposed in order to determine the most effective hybrid system configuration with the lowest cost within a set of system constraints. A demand side management technique is also evaluated as a measure to further increase potential fuel savings. Modelling is completed using the simulation tool HOMER and results are presented for several different system configurations.
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Pereira, Marciel Barros. "Particle swarm optimization and differential evolution for base station placement with multi-objective requirements." reponame:Repositório Institucional da UFC, 2015. http://www.repositorio.ufc.br/handle/riufc/13374.

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PEREIRA, M. B. Particle swarm optimization and differential evolution for base station placement with multi-objective requirements. 2015. 72 f. Dissertação (Mestrado em Engenharia de Teleinformática) – Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2015.
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The infrastructure expansion planning in cellular networks, so called Base Station Placement (BSP) problem, is a challenging task that must consider a large set of aspects, and which cannot be expressed as a linear optimization function. The BSP is known to be a NP-hard problem unable to be solved by any deterministic method. Based on some fundamental assumptions of Long Term Evolution - Advanced (LTE-A) networks, this work proceeds to investigate the use of two methods for BSP optimization task: the Particle Swarm Optimization (PSO) and the Differential Evolution (DE), which were adapted for placement of many new network nodes simultaneously. The optimization process follows two multi-objective functions used as fitness criteria for measuring the performance of each node and of the network. The optimization process is performed in three scenarios where one of them presents actual data collected from a real city. For each scenario, the fitness performance of both methods as well as the optimized points found by each technique are presented
O planejamento de expansão de infraestrutura em redes celulares é uma desafio que exige considerar diversos aspectos que não podem ser separados em uma função de otimização linear. Tal problema de posicionamento de estações base é conhecido por ser do tipo NP-hard, que não pode ser resolvido por qualquer método determinístico. Assumindo características básicas da tecnologia Long Term Evolution (LTE)-Advanced (LTE-A), este trabalho procede à investigação do uso de dois métodos para otimização de posicionamento de estações base: Otimização por Enxame de Partículas – Particle Swarm Optimization (PSO) – e Evolução Diferencial – Differential Evolution (DE) – adaptados para posicionamento de múltiplas estações base simultaneamente. O processo de otimização é orientado por dois tipos de funções custo com multiobjetivos, que medem o desempenho dos novos nós individualmente e de toda a rede coletivamente. A otimização é realizada em três cenários, dos quais um deles apresenta dados reais coletados de uma cidade. Para cada cenário, são exibidos o desempenho dos dois algoritmos em termos da melhoria na função objetivo e os pontos encontrados no processo de otimização por cada uma das técnicas
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CASTELLETTI, FEDERICO. "Learning Markov Equivalence Classes of Gaussian DAGs via Observational and Interventional Data: an Objective Bayes Approach." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/199179.

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I modelli grafici basati sull'utilizzo di grafi direzionati (Directed Acyclic Graphs, DAG) hanno acquisito negli ultimi decenni un'ampia popolarità per lo studio della dipendenza tra variabili in molteplici ambiti scientifici. Tipicamente lo scopo è fare inferenza su un modello attraverso i dati, ovvero misurare relazioni di dipendenza tra variabili. La famiglia di indipendenze (marginali) e condizionali codificate dal DAG determinano la sua proprietà markoviana. DAG che racchiudono le medesime indipendenze condizionali sono detti Markov equivalenti. È tuttavia noto che l'utilizzo di dati di natura puramente osservazionale non consenta di "distinguere" tra DAG Markov equivalenti. Questi sono quindi partizionati in classi di equivalenza, ciascuna delle quali viene rappresentata da un grafo a catena detto essential graph. Quando l'obiettivo è fare inferenza sul modello generatore dei dati è quindi più conveniente esplorare lo spazio degli essential graph (rispetto allo spazio dei DAG), sebbene la dimensione di questo cresca "più che esponenzialmente" nel numero di variabili (nodi del grafo). Per lungo tempo lo studio degli essential graph è stato quindi confinato a "dimensioni" modeste dello spazio. Tuttavia, per superare tale limite, negli ultimi anni sono stati proposti diversi metodi basati sull'utilizzo di catene di Markov. In diverse applicazioni (di carattere tipicamente biologico e genomico) si dispone di dati di tipo "interventistico", ossia prodotti a seguito di perturbazioni esogene di variabili o "esperimenti randomizzati". La nozione di intervento è strettamente legata all'interpretazione causale del DAG. Intervenendo su una variabile è possibile "rimuovere" la dipendenza di altre variabili sulla stessa, ossia modificare la proprietà markoviana del DAG. Questo determina una partizione dei DAG in classi di equivalenza di dimensione "più contenuta", ciascuna delle quali viene rappresentata da un interventional essential graph. Pertanto, laddove si disponga di dati di natura interventistica, la selezione del modello generatore dei dati può essere rivolta all'esplorazione di tale spazio; in tal modo è possibile "migliorare" l'identificazione del DAG generatore dei dati. Nel presente lavoro si affronta il problema della selezione di modelli grafici gaussiani attraverso una metodologia di tipo bayesiano. Nello specifico, si adotta un approccio oggettivo basato sulla nozione di fractional Bayes factor. A questo scopo, ricaviamo una formula per il calcolo della verosimiglianza marginale di un interventional essential graph in presenza di dati di natura osservazionale e interventistica. In seguito, procediamo alla costruzione di una catena di Markov per l'esplorazione dello spazio degli interventional essential graph sotto condizioni di sparsità. Proponiamo quindi un algoritmo di tipo MCMC per approssimare la posterior distribution degli interventional essential graph e "quantificare" misure di incertezza come la probabilità di inclusione di un edge. Applichiamo infine la metodologia proposta, denominata Objective Bayesian Interventional Essential graph Search, a studi di simulazione e per l'analisi di protein-signaling data, laddove dati di natura interventistica corrispondono a rilevazioni effettuate sotto differenti condizioni sperimentali.
Graphical models based on Directed Acyclic Graphs (DAGs) are a very common tool in many scientific areas for the investigation of dependencies among variables. Typically, the objective is to infer models from the data or measuring dependence relationships between variables. The set of all (marginal and) conditional independencies encoded by a DAG determines its Markov property. However, it is well known that we cannot distinguish between DAGs encoding the same set of conditional independencies (Markov equivalent DAGs) using observational data. Markov equivalent DAGs are then collected in equivalence classes each one represented by an Essential Graph (EG), also called Completed Partially Directed Graph (CPDAG). When the interest is in model selection it is then convenient to explore the EG space, rather than the whole DAG space, even if the number of EGs increases super-exponentially with the number of vertices. An exhaustive enumeration of all EGs is not feasible and so structural learning in the EG space has been confined to small dimensional problems. However, to avoid such limit, several methods based on Markov chains have been proposed in recent years. In many applications (such as biology and genomics) we have both observational and interventional data produced after an exogenous perturbation of some variables or from randomized intervention experiments. The concept of intervention is strictly related to the causal interpretation of a DAG. Interventions destroy the original causal dependency on the intervened variables and modify the Markov property of a DAG. This results in a finer partition of DAGs into equivalence classes, each one represented by an Interventional Essential Graph (I-EG). Hence, model selection of DAGs in the presence of observational and interventional data can be performed over the I-EG space, thus improving the identifiability of the true data generating model. In this work we deal with the problem of Gaussian DAG model selection from a Bayesian perspective. In particular, we adopt an objective Bayes approach based on the notion of fractional Bayes factor. We then obtain a closed formula to compute the marginal likelihood of an I-EG given a collection of observational and interventional data. Next, we construct a Markov chain to explore the I-EG space possibly accounting for sparsity constraints. Hence, we propose an MCMC algorithm to approximate the posterior distribution of I-EGs and provide a quanti_cation of inferential uncertainty by measuring some features of interest, such as probabilities of edge inclusion. We apply our methodology, that we name Objective Bayesian Interventional Essential graph Search (OBIES) to simulation settings and to the analysis of protein-signaling data, where interventional data consists in a collection of observations measured under different experimental conditions.
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Hessel, Charles. "La décomposition automatique d'une image en base et détail : Application au rehaussement de contraste." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLN017/document.

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Dans cette thèse CIFRE en collaboration entre le Centre de Mathématiques et de leurs Applications, École Normale Supérieure de Cachan et l’entreprise DxO, nous abordons le problème de la décomposition additive d’une image en base et détail. Une telle décomposition est un outil fondamental du traitement d’image. Pour une application à la photographie professionnelle dans le logiciel DxO Photolab, il est nécessaire que la décomposition soit exempt d’artefact. Par exemple, dans le contexte de l’amélioration de contraste, où la base est réduite et le détail augmenté, le moindre artefact devient fortement visible. Les distorsions de l’image ainsi introduites sont inacceptables du point de vue d’un photographe.L’objectif de cette thèse est de trouver et d’étudier les filtres les plus adaptés pour effectuer cette tâche, d’améliorer les meilleurs et d’en définir de nouveaux. Cela demande une mesure rigoureuse de la qualité de la décomposition en base plus détail. Nous examinons deux artefact classiques (halo et staircasing) et en découvrons trois autres types tout autant cruciaux : les halos de contraste, le cloisonnement et les halos sombres. Cela nous conduit à construire cinq mire adaptées pour mesurer ces artefacts. Nous finissons par classer les filtres optimaux selon ces mesures, et arrivons à une décision claire sur les meilleurs filtres. Deux filtres sortent du rang, dont un proposé dans cette thèse
In this CIFRE thesis, a collaboration between the Center of Mathematics and their Applications, École Normale Supérieure de Cachan and the company DxO, we tackle the problem of the additive decomposition of an image into base and detail. Such a decomposition is a fundamental tool in image processing. For applications to professional photo editing in DxO Photolab, a core requirement is the absence of artifacts. For instance, in the context of contrast enhancement, in which the base is reduced and the detail increased, minor artifacts becomes highly visible. The distortions thus introduced are unacceptable from the point of view of a photographer.The objective of this thesis is to single out and study the most suitable filters to perform this task, to improve the best ones and to define new ones. This requires a rigorous measure of the quality of the base plus detail decomposition. We examine two classic artifacts (halo and staircasing) and discover three more sorts that are equally crucial: contrast halo, compartmentalization, and the dark halo. This leads us to construct five adapted patterns to measure these artifacts. We end up ranking the optimal filters based on these measurements, and arrive at a clear decision about the best filters. Two filters stand out, including one we propose
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Leão, Luis Gustavo de Paiva. "A quebra da base objetiva dos contratos." Pontifícia Universidade Católica de São Paulo, 2010. https://tede2.pucsp.br/handle/handle/5474.

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Through a brief analysis of the historical origins of the contract, taking into account as party settlements with the State endorsement, observed in its practical applications, we intend to analyze the collapse in the objective basis of contracts, verifying the consequence of such breakaway, both in the jurisprudence as in the social relations involved, and as the interpretative possibilites of such issue. The relevance of the subject is shown by itself, once the contemporary society is contractarian in almost all respects, and the non compliance of the contractual terms is a result of numerous disorders that cause impact on the harmony of social life in all spheres: familiar level up to the governmental. Themes such as autonomy and contractual liberty come up against issues that need ethical-political reviews. As the main objective remains the characterization of how, when and under what circumstances it is possible to affirm that there was a collapse in the objective basis of the contract, and diagnosed such collapse, how to proceed in such situation: there will be a possibility of establishing a new agreement or just be left to setting penalties and compensations. The secondary objectives point to the identification of direct and indirect effects regarding the situation, and in the action of laws to this type of occurrence. The method that will be used is the deductive method in order to develop the research, being the review of literature on the theme the basic source to enrich discussions in the invitation to authors that have already leaned on the theme in books, articles, theses and further dissertations
Por meio de uma sucinta análise das origens históricas do contrato, considerado enquanto acerto de partes com aval do Estado, observado em suas aplicações práticas, pretende-se analisar a quebra da base objetiva dos contratos, verificando as consequências desta ruptura tanto na jurisprudência como nas relações sociais envolvidas, bem como as possibilidades interpretativas da questão. A relevância do tema se demonstra por si só, vez que a sociedade contemporânea é contratualista em quase todos os aspectos, e a não observância dos termos contratuais é causa de inúmeros transtornos que impactam sobre a harmonia da vida social em todas as esferas: do nível familiar ao governamental. Temas como a autonomia e a liberdade contratual esbarram em questões que necessitam de revisões ético-políticas. Como objetivo principal subsiste a caracterização de como, quando e em que circunstâncias se pode alegar que houve a quebra da base objetiva do contrato, e, diagnosticada esta quebra como se procede diante da situação: haverá possibilidade do estabelecimento de novo acordo ou apenas restará a configuração de penas e ressarcimentos. Os objetivos secundários apontam para a identificação de efeitos diretos e indiretos da situação, e na ação das leis para este tipo de ocorrência. Será utilizado o método dedutivo para o desenvolvimento da pesquisa, sendo a revisão da literatura sobre o tema a fonte básica para o enriquecimento das discussões, no convite a autores que já se debruçaram sobre o assunto em livros, artigos, teses e demais dissertações
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Books on the topic "Objective Baye"

1

Evaluating medical tests: Objective and quantitative guidelines. Newbury Park, Calif: Sage Publications, 1992.

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Victoria. Office of the Auditor-General. Port of Melbourne channel deepening project: Achievement of objectives. Melbourne, Vic: Victorian Government Printer, 2012.

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Baoua, Mahaman. Les Écueils de l'administration de l'éducation de base au Niger. Niamey, Niger: Éditions Gashingo, 2019.

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Cree Board of Health and Social Services of James Bay. A challenge not to be ignored: The general orientations, the general objectives (1986-89) triennial programming. James Bay, Quebec: Cree Board of Health and Social Services of James Bay, 1986.

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Al-Jaff, Shirin. Role of zero-base budgeting in the achievement of organizations objectives. An empirical study in not-for-profit organizations. Oxford: Oxford Brookes University, 1996.

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Giasson, Lucie. Analyse comparative des objectifs d'apprentissage de quatre programmes d'enseignement de base du français langue seconde au Canada. Québec, Canada: Centre international de recherche en aménagement linguistique, Faculté des lettres, Université Laval, 1992.

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1942-, Verspoor Adriaan, ed. Le défi de l'apprentissage: Améliorer la qualité de l'éducation de base en Afrique subsaharienne. Paris: Harmattan, 2005.

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Nancy, Watson, Scane Joyce 1931-, Bedard George Jerome 1947-, and Ontario. Royal Commission on Learning., eds. For the love of learning: Background papers for the Royal Commission on Learning = Pour l'amour d'apprendre : documents de base pour la Commission royale sur l'éducation. Toronto: Ontario Royal Commission on Learning, 1995.

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Fonssi, Eugène. L'université autrement: Les principes de base de l'Université Évangélique du Cameroun et leurs enjeux de transformation sociale : rapport du séminaire atelier de Mbouo Bandjoun, du 24 au 26 février 2011. Bandjoun: Presses de l'Université évangelique du Cameroun, 2012.

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San Francisco (Calif.). Office of the Controller. Audits Division. Human Rights Commission: Barri Electric Company, Inc., met the objectives for women business enterprise participation in its contract with the Airport. San Francisco: Office of the Controller, 2002.

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Book chapters on the topic "Objective Baye"

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Volonte, S. "Astronomy from a Lunar Base." In Astronomical and Astrophysical Objectives of Sub-Milliarcsecond Optical Astrometry, 347–50. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0069-4_61.

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Wolff, H. P., A. Fleckenstein, and E. O. Philipp. "Panel Discussion II: Objectives of Basic Research and Predictive Value Preclinical Testing." In Bayer AG Centenary Symposium, 224–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74615-4_22.

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Bayarri, M. J., James O. Berger, and Gauri S. Datta. "Objective Bayes testing of Poisson versus inflated Poisson models." In Institute of Mathematical Statistics Collections, 105–21. Beachwood, Ohio, USA: Institute of Mathematical Statistics, 2008. http://dx.doi.org/10.1214/074921708000000093.

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Grimme, Christian, Pascal Kerschke, and Heike Trautmann. "Multimodality in Multi-objective Optimization – More Boon than Bane?" In Lecture Notes in Computer Science, 126–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12598-1_11.

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Shukla, Praveen Kumar, and Surya Prakash Tripathi. "Interpretability Issues in Evolutionary Multi-Objective Fuzzy Knowledge Base Systems." In Advances in Intelligent Systems and Computing, 473–84. India: Springer India, 2012. http://dx.doi.org/10.1007/978-81-322-1038-2_40.

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Ye, Tingyu, Hui Wang, Wenjun Wang, Tao Zeng, and Luqi Zhang. "An Improved Bare-Bones Multi-objective Artificial Bee Colony Algorithm." In Communications in Computer and Information Science, 272–80. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1256-6_20.

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Guerra, Luis Raúl Pericchi, Guimei Liu, and David Torres Núñez. "Objective Bayes Factors for Informative Hypotheses: “Completing” the Informative Hypothesis and “Splitting” the Bayes Factors." In Bayesian Evaluation of Informative Hypotheses, 131–54. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-09612-4_7.

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Lupiani, Eduardo, Susan Craw, Stewart Massie, Jose M. Juarez, and Jose T. Palma. "A Multi-Objective Evolutionary Algorithm Fitness Function for Case-Base Maintenance." In Case-Based Reasoning Research and Development, 218–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39056-2_16.

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Piantoni, Jane, Katti Faceli, Tiemi C. Sakata, Julio C. Pereira, and Marcílio C. P. de Souto. "Impact of Base Partitions on Multi-objective and Traditional Ensemble Clustering Algorithms." In Neural Information Processing, 696–704. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26532-2_77.

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Moortgat, Peter, Mieke Anthonissen, Ulrike Van Daele, Jill Meirte, Tine Vanhullebusch, and Koen Maertens. "Objective Assessment Techniques: Physiological Parameters in Scar Assessment." In Textbook on Scar Management, 159–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44766-3_18.

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AbstractIn order to assess new and often costly treatments, the need for objective scar measurement tools has become increasingly important. A combination of subjective and objective measures should be the aim of every researcher. Quantitative assessment of scars requires devices to measure their physical and physiological properties. Physiological scar parameters are scar characteristics relevant to pathological scarring which cannot be seen with the bare eye. This also means that they can only be assessed with objective assessment tools.Skin hydration is defined as the water content of the epidermis and the dermis, and the ability of the skin to retain water is important to avoid dry appearance of the skin and prolonged inflammation in scarring. Many approaches exist to measure skin water content. One single method is often not enough to capture all the relevant information. Trans-epidermal water loss, stratum corneum water content, and dermal water content are equally important and related to each other.Scar maturation has been related to transcutaneous oxygen tension, and it is hypothesized that low levels of transcutaneous oxygen pressure in evolving scars result from low oxygen diffusibility through scar tissue.Tactile sensitivity of the skin can be measured by esthesiometers. The Semmes-Weinstein monofilament test is found to be a feasible and reliable outcome measure to evaluate touch perception threshold in older upper extremities burn scars.
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Conference papers on the topic "Objective Baye"

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Zaharov, M. A., and V. A. Zaharova. "Ways to solve the problems of counterfeiting products of the wine industry." In SCIENCE OF RUSSIA: GOALS AND OBJECTIVES. L-Journal, 2020. http://dx.doi.org/10.18411/sr-10-12-2020-29.

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The article deals with the topical issue of combating counterfeit food products, in particular wine-making. The main controllable indicators are given, based on the verification of which it is possible to assess the finished product authenticity, quality and safety. A steady increase in the counterfeiting alcoholic beverages level and ways of solving countering the counterfeit products release in the developing methodological base context a are noted. The finished product monitoring relevance in the domestic market is noted, and the analytical analysis methodology improvement based on it, as well as the updating of the tool base nomenclature.
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Alekseev, S. I. "Formation of the soil consolidation zone along the injector - micro piles at cementation of the base under the foundations of reconstructed buildings." In SCIENCE OF RUSSIA: GOALS AND OBJECTIVES. L-Journal, 2020. http://dx.doi.org/10.18411/sr-10-08-2020-01.

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Ren, Shunan, Ying Xie, Zhi Liu, Guolei Wang, Xiangdong Yang, and Ken Chen. "Base station searching for manipulators with huge objective workpieces." In 2015 IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2015. http://dx.doi.org/10.1109/cyber.2015.7287944.

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Pozdnyakov, V. A., V. A. Cheverda, and S. S. Khudyakov. "Objective-oriented Imaging on the Base of Focusing Transformation." In 1st EAGE International Geosciences Conference on Kazakhstan. European Association of Geoscientists & Engineers, 2010. http://dx.doi.org/10.3997/2214-4609.20145699.

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Mai, Wentian, Hai-Lin Liu, Lei Chen, Jiongcheng Li, and Henghui Xiao. "Multi-objective Evolutionary Algorithm for 4G Base Station Planning." In 2013 Ninth International Conference on Computational Intelligence and Security (CIS). IEEE, 2013. http://dx.doi.org/10.1109/cis.2013.25.

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Chang, Leilei, Liuying Wang, Wei Wang, Gu Liu, and Xiaodong Ling. "Akaike Information Criterion-Based Objective for Belief Rule Base Optimization." In 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2016. http://dx.doi.org/10.1109/ihmsc.2016.83.

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Zhang, Xubo, and China Wuhan. "Private equity exit risk avoiding base on multi-objective optimization." In 2009 ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM). IEEE, 2009. http://dx.doi.org/10.1109/cccm.2009.5267827.

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Sahinkaya, M. Necip, Abdul-Hadi G. Abulrub, Patrick S. Keogh, and Clifford R. Burrows. "Experiments on the Transient Performance of an Adaptive Multi-Objective Controller for Rotating Machinery." In ASME Turbo Expo 2010: Power for Land, Sea, and Air. ASMEDC, 2010. http://dx.doi.org/10.1115/gt2010-23482.

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The paper describes an experimental assessment of the transient performance of a multi-objective adaptive approach to the control of flexible rotors previously presented by the authors. The approach is applicable to any form of controllable bearings or actuators. In the case reported here, the rotor is supported by active magnetic bearings (AMBs). The theory underlying the controller is outlined: the objectives include minimization of the forces transmitted to the base while restricting rotor vibrations to a user-defined limit. A third objective is to prevent rotor contact with the auxiliary bearings used to protect the active elements. These three objectives are met by a two-stage weighting strategy followed by the adaptive control of two parameters that automatically and continuously adjust the weightings of individual objective functions to satisfy user defined performance criteria.
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Kiwan, H., A. Bais, and Y. L. Morgan. "Objective function for base stations placement using the nested square pattern." In 2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2013. http://dx.doi.org/10.1109/ccece.2013.6567762.

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Liang, Xueyi, Hailin Liu, and Qiang Wang. "4G Heterogeneous Networks Base Station Planning Using Evolutionary Multi-objective Algorithm." In 2015 11th International Conference on Computational Intelligence and Security (CIS). IEEE, 2015. http://dx.doi.org/10.1109/cis.2015.68.

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Reports on the topic "Objective Baye"

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Chester, Mikhail, Alysha Helmrich, and Rui Li. Inventorying San Francisco Bay Area Parking Spaces: Technical Report Describing Objectives, Methods, and Results. Mineta Transportation Institute, February 2022. http://dx.doi.org/10.31979/mti.2022.2123.

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Mohling, Caroline M., Anna K. Johnson, Kenneth J. Stalder, Caitlyn Abell, Locke A. Karriker, Johann F. Coetzee, and Suzanne T. Millman. Embedded Micro-Computer Base Force Plate as an Objective Tool to Measure Hoof Lameness Phases in Multiparous Sows. Ames (Iowa): Iowa State University, January 2014. http://dx.doi.org/10.31274/ans_air-180814-1193.

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Wenren, Yonghu, Joon Lim, Luke Allen, Robert Haehnel, and Ian Dettwiler. Helicopter rotor blade planform optimization using parametric design and multi-objective genetic algorithm. Engineer Research and Development Center (U.S.), December 2022. http://dx.doi.org/10.21079/11681/46261.

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In this paper, an automated framework is presented to perform helicopter rotor blade planform optimization. This framework contains three elements, Dakota, ParBlade, and RCAS. These elements are integrated into an environment control tool, Galaxy Simulation Builder, which is used to carry out the optimization. The main objective of this work is to conduct rotor performance design optimizations for forward flight and hover. The blade design variables manipulated by ParBlade are twist, sweep, and anhedral. The multi-objective genetic algorithm method is used in this study to search for the optimum blade design; the optimization objective is to minimize the rotor power required. Following design parameter substitution, ParBlade generates the modified blade shape and updates the rotor blade properties in the RCAS script before running RCAS. After the RCAS simulations are complete, the desired performance metrics (objectives and constraints) are extracted and returned to the Dakota optimizer. Demonstrative optimization case studies were conducted using a UH-60A main rotor as the base case. Rotor power in hover and forward flight, at advance ratio 𝜇𝜇 = 0.3, are used as objective functions. The results of this study show improvement in rotor power of 6.13% and 8.52% in hover and an advance ratio of 0.3, respectively. This configuration also yields greater reductions in rotor power for high advance ratios, e.g., 12.42% reduction at 𝜇𝜇 = 0.4.
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Lovyanova, I. V., and Z. I. Vedrenkova. Caracterisation des objectifs et le contenu de la formation professionnelle visant a les mathematiques profil de l'ecole. Les Editions L'Originаlе, 2016. http://dx.doi.org/10.31812/0564/2359.

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L' article est consacré à la caractérisation des objectifs et le contenu de l'enseignement des mathématiques à orientation professionnelle dans les écoles spécialisées. Concentrez-vous sur la façon dont les objectifs de l'éducation et de la formation définie documents d'État sur l'éducation. Mettez en surbrillance les zones qui définissent les objectifs de l'enseignement des mathématiques. L'article définit le contenu de l'enseignement des mathématiques comme un système dans un système méthodique de formation professionnelle visant mathématiques qui vient dans une relation bilatérale étroite avec les objectifs du système et l'impact potentiel sur les autres composants du système d'orientation. V. Krajewski sont trois concepts de base qui déterminent le contenu de l'éducation et a souligné que le contenu de l'enseignement est plus large que le concept du contenu de l'apprentissage. Sur la base de généralisations dans l'article l'unité cible dans le cadre d'un enseignement des mathématiques à orientation professionnelle et des composants du système du contenu professionnel dirigé l'apprentissage des mathématiques.
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Bozek, Michael, and Tani Hubbard. Greater Yellowstone Network amphibian monitoring protocol science review: A summary of reviewers’ responses. National Park Service, June 2022. http://dx.doi.org/10.36967/nrr-2293614.

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Science reviews are an essential cornerstone of all excellent science programs and are a requirement of monitoring programs within the Inventory and Monitoring Division of the National Park Service (NPS). Science reviews provide necessary professional critique of objectives, study design, data collection, analysis, scientific interpretation, and how effectively information is transferred to target audiences. Additionally, reviews can help identify opportunities to cooperate more effectively with interested and vested partners to expand the impacts of collective findings across larger landscapes. In December 2020, seven biologists from USGS, USFWS, and NPS provided a critical review of the Greater Yellowstone Network Amphibian Monitoring Protocol for monitoring Columbia spotted frogs (Rana luteiventris), boreal chorus frogs (Pseudacris maculata), western toads (Anaxyrus boreas), western tiger salamanders (Ambystoma mavortium), and environmental conditions at wetland sites clustered within watershed units in Yellowstone and Grand Teton national parks. This review followed sixteen years of GRYN amphibian and wetland monitoring, allowing us to evaluate the impact of the work thus far and to discuss potential improvements to the protocol. Reviewers were asked to assess the following amphibian monitoring objectives per Bennetts et al. (2013, Cooperative amphibian monitoring protocol for the Greater Yellowstone Network: Narrative, version 1.0, https://irma.nps.gov/DataStore/Reference/Profile/2194571) and to assess the degree to which GRYN is meeting the objectives based on the current sampling, analyses, and reporting: Objective 1: Estimate the proportion of catchments and wetland sites used for breeding by each of the four common, native amphibian species annually, and estimate the rate at which their use is changing over time. Objective 2: Determine the total number of wetlands within sampled catchments that are suitable for amphibian breeding (i.e., have standing water during the breeding season) annually. Objective 3: For western toads, estimate the proportion of previously identified breeding areas that are used annually, and estimate the rate at which their use may be changing over time. Generally, reviewers commended the GRYN Amphibian Monitoring Program, including the design, the statistical rigor of current analytical approaches, the large number of monitoring reports and publications, and the audiences reached. Reviewers unanimously felt that the first two objectives of this protocol are being met for two species (Columbia spotted frogs and boreal chorus frogs) in medium- and high-quality catchments, and all but one reviewer also felt these objectives are being met for western tiger salamanders. It was universally recognized that objective 3 for western toads is not being met but reviewers attributed this to issues related to funding and capacity rather than design flaws. Reviewers felt the current design provides an adequate base for parlaying additional work and offered suggestions focused on increasing efficiencies, maximizing information that can be collected in the field, strengthening analyses, and improving scientific outreach. In this document, we summarize reviewers' comments and include their full written reviews in Appendix B.
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Gupta, Aditya, Maanasa Venkataraman, and Mary Bamimore. The relative efficacy of monotherapies for dermatophyte toenail onychomycosis: a systematic review with quantitative syntheses of the evidence base. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2022. http://dx.doi.org/10.37766/inplasy2022.4.0157.

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Review question / Objective: The objective of the proposed study is to examine the relative efficacy of monotherapies for dermatophyte toenail onychomycosis, as per mycological, clinical and/or complete cure rates. Condition being studied: Dermatophyte toenail onychomycosis. Eligibility criteria: A randomized or observational study with at least one arm investigating the efficacy of antifungal monotherapy for dermatophyte toenail onychomycosis in terms of mycological cure, complete cure and/or clinical cure.
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Hulata, Gideon, and Graham A. E. Gall. Breed Improvement of Tilapia: Selective Breeding for Cold Tolerance and for Growth Rate in Fresh and Saline Water. United States Department of Agriculture, November 2003. http://dx.doi.org/10.32747/2003.7586478.bard.

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The main objective of this project was to initiate a breeding program to produce cold-tolerant and salinity-tolerant synthetic breeds of tilapia, from a base population consisting of a four-species hybrid population created under an earlier BARD project. A secondary objective was to estimate genetic parameters for the traits growth rate under fresh- and salt-water and for cold tolerance. A third objective was to place quantitative trait loci that affect these traits of interest (e.g., growth rate in fresh-water, salt-water and cold tolerance) on the growing linkage map of primarily microsatellite loci. We have encountered fertility problems that were apparently the result of the complex genetic structure of this base population. The failure in producing the first generation of the breeding program has forced us to stop the intended breeding program. Thus, upon approval of BARD office, this objective was dropped and during the last year we have focused on the secondary objective of the original project during the third year of the project, but failed to perform the intended analysis to estimate genetic parameters for the traits of interest. We have succeeded, however, to strengthen the earlier identification of a QTL for cold tolerance by analyzing further segregating families. The results support the existence of a QTL for cold tolerance on linkage group 15, corresponding to UNH linkage group 23. The results also indicate a QTL for the same trait on linkage group 12, corresponding to UNH linkage group 4.
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Rolufs, Angela, Amelia Trout, Kevin Palmer, Clark Boriack, Bryan Brilhart, and Annette Stumpf. Integration of autonomous electric transport vehicles into a tactical microgrid : final report. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42007.

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The objective of the Autonomous Transport Innovation (ATI) technical research program is to investigate current gaps and challenges and develop solutions to integrate emerging electric transport vehicles, vehicle autonomy, vehicle-to-grid (V2G) charging and microgrid technologies with military legacy equipment. The ATI research area objectives are to: identify unique military requirements for autonomous transportation technologies; identify currently available technologies that can be adopted for military applications and validate the suitability of these technologies to close need gaps; identify research and operational tests for autonomous transport vehicles; investigate requirements for testing and demonstrating of bidirectional-vehicle charging within a tactical environment; develop requirements for a sensored, living laboratory that will be used to assess the performance of autonomous innovations; and integrate open standards to promote interoperability and broad-platform compatibility. This final report summarizes the team’s research, which resulted in an approach to develop a sensored, living laboratory with operational testing capability to assess the safety, utility, interoperability, and resiliency of autonomous electric transport and V2G technologies in a tactical microgrid. The living laboratory will support research and assessment of emerging technologies and determine the prospect for implementation in defense transport operations and contingency base energy resilience.
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Rolufs, Angela, Amelia Trout, Kevin Palmer, Clark Boriack, Bryan Brilhart, and Annette Stumpf. Autonomous Transport Innovation (ATI) : integration of autonomous electric vehicles into a tactical microgrid. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42160.

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The objective of the Autonomous Transport Innovation (ATI) technical research program is to investigate current gaps and challenges then develop solutions to integrate emerging electric transport vehicles, vehicle autonomy, vehicle-to-grid (V2G) charging and microgrid technologies with military legacy equipment. The ATI research area objectives are to: identify unique military requirements for autonomous transportation technologies; identify currently available technologies that can be adopted for military applications and validate the suitability of these technologies to close need gaps; identify research and operational tests for autonomous transport vehicles; investigate requirements for testing and demonstrating of bidirectional vehicle charging within a tactical environment; develop requirements for a sensored, living laboratory that will be used to assess the performance of autonomous innovations; and integrate open standards to promote interoperability and broad-platform compatibility. The research performed resulted in an approach to develop a sensored, living laboratory with operational testing capability to assess the safety, utility, interoperability, and resiliency of autonomous electric transport and V2G technologies in a tactical microgrid. The living laboratory will support research and assessment of emerging technologies and determine the prospect for implementation in defense transport operations and contingency base energy resilience.
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10

Gupta, Aditya, Maanasa Venkataraman, and Mary Bamimore. Relative efficacy of biologic agents for alopecia areata: protocol for a systematic review with quantitative syntheses of the evidence base. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, February 2022. http://dx.doi.org/10.37766/inplasy2022.2.0082.

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Review question / Objective: We plan to conduct a network meta-analysis study on the relative effectiveness of biologic agents for alopecia areata. Condition being studied: Alopecia Areata. Eligibility criteria: Randomized and observational studies that investigated the impact of monotherapy with biologic agents for alopecia areata. Only evidence in English will be included; there will be no date restrictions.
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