Littérature scientifique sur le sujet « Modelli grafici a catena »
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Articles de revues sur le sujet "Modelli grafici a catena"
Linney, A. D., A. C. Tan, R. Richards, J. Gardener et W. R. Lees. « Visualizzazione tridimensionale del corpo umano per diagnosi e per programmazione chirurgica ». Rivista di Neuroradiologia 5, no 4 (novembre 1992) : 483–88. http://dx.doi.org/10.1177/197140099200500412.
Texte intégralColonnese, Fabio. « L’Objet Trouvé come modello tra approcci analogici e digitali ». EGA Revista de Expresión Gráfica Arquitectónica 25, no 40 (17 novembre 2020) : 156. http://dx.doi.org/10.4995/ega.2020.12934.
Texte intégralBerto, D., M. Peroni, S. Milleri et A. G. Spagnolo. « Valutazione della comprensibilità dei fogli informativi ai fini del consenso negli studi con volontari sani ». Medicina e Morale 47, no 4 (31 août 1998) : 709–29. http://dx.doi.org/10.4081/mem.1998.826.
Texte intégralQUARANTA, N., S. TALIENTE, F. COPPOLA et I. SALONNA. « Risultati uditivi e fattori prognostici nell’ossiculoplastica con cartilagine in pazienti affetti da otite cronica colesteatomatosa ». Acta Otorhinolaryngologica Italica 35, no 5 (octobre 2015) : 338–42. http://dx.doi.org/10.14639/0392-100x-590.
Texte intégralLaurenti, Andrea, Luca Orlandi et Mauro Panebianco. « Un nuovo ruolo per funzioni di controllo interno in azienda : il modello della Compliance integrata ». ECONOMIA E DIRITTO DEL TERZIARIO, no 3 (septembre 2011) : 593–612. http://dx.doi.org/10.3280/ed2010-003010.
Texte intégralButera, Federico, et Fernando Alberti. « Il governo delle reti inter-organizzative per la competitivitŕ ». STUDI ORGANIZZATIVI, no 1 (décembre 2012) : 77–111. http://dx.doi.org/10.3280/so2012-001004.
Texte intégralBonavita, Paolo, et Augusto Vigna Taglianti. « Ocydromus subg. Nepha Motschulsky, 1864 : revisione tassonomica, filogenesi e biogeografia (Coleoptera Carabidae) ». Memorie della Società Entomologica Italiana 89, no 1 (30 juin 2010) : 7. http://dx.doi.org/10.4081/memoriesei.2010.7.
Texte intégralThèses sur le sujet "Modelli grafici a catena"
PENNONI, FULVIA. « Metodi statistici multivariati applicati all'analisi del comportamento dei titolari di carta di credito di tipo revolving ». Bachelor's thesis, Universita' degli studi di Perugia, 2000. http://hdl.handle.net/10281/50024.
Texte intégralIn this thesis work the use of graphical models is proposed to the analysis of credit scoring. In particular the applied application is related to the behavioural scoring which is defined by Thomas (1999) as ‘the systems and models that allow lenders to make better decisions in managing existing clients by forecasting their future performance’. The multivariate statistical models, named chain graph models, proposed for the application allow us to model in a proper way the relation between the variables describing the behaviour of the holders of the credit card. The proposed models are named chain graph models. They are based on a log-linear expansion of the density function of the variables. They allow to: depict oriented association between subset of variables; to detect the structure which accounts for a parsimonious description of the relations between variables; to model simultaneously more than one response variable. They are useful in particular when there is a partial ordering between variables such that they can be divided into exogenous, intermediate and responses. In the graphical models the independence structure is represented by a graph. The variables are represented by nodes, joint by edges showing the dependence in probability among variables. The missing edge means that two nodes are independent given the other nodes. Such class of models is very useful for the theory which combines them with the expert systems. In fact, once the model has been selected, it is possible to link it to the expert system to model the joint and marginal probability of the variables. The first chapter introduces the most used statistical models for the credit scoring analysis. The second chapter introduces the categorical variables. The information related to the credit card holder are stored in a contingency table. It illustrates also the notion of independence between two variables and conditional independence among more than two variables. The odds ratio is introduced as a measure of association between two variables. It is the base of the model formulation. The third chapter introduces the log-linear and logistic models belonging to the family of generalized linear models. They are multivariate methods allowing to study the association between variables considering them simultaneously. A log-linear parameterization is described in details. Its advantage is also that it allow us to take into account of the ordinal scale on which the categorical variables are measured. This is also useful to find the better categorization of the continuous variables. The results related to the maximum likelihood estimation of the model parameters are mentioned as well as the numerical iterative algorithm which are used to solve the likelihood equations with respect to the unknown parameters. The score test is illustrated to evaluate the goodness of fit of the model to the data. Chapter 4 introduces some main concepts of the graph theory in connection with their properties which allow us to depict the model through the graph, showing the interpretative advantages. The sparsity of the contingency table is also mentioned, when there are many cells. The collapsibility conditions are considered as well. Finally, Chapter 5 illustrates the application of the proposed methodology on a sample composed by 70000 revolving credit card holders. The data are released by a one of biggest Italian financial society working in this sector. The variables are the socioeconomic characteristics of the credit card holder, taken form the form filled by the customer when asking for the credit. Every months the society refines the classification of the customers in active, inactive or asleep according to the balance. The application of the proposed method was devoted to find the existing conditional independences between variables related to the two responses which are the balance of the account at two subsequent dates and therefore to define the profiles of most frequently users of the revolving credit card. The chapter ends with some conclusive remarks. The appendix of the chapter reports the code of the used statistical softwares.
NGUYEN, NGOC DUNG. « SELEZIONE DEL MODELLO NEI MODELLI GRAFICI COLORATI PER DATI APPAIATI ». Doctoral thesis, Università degli studi di Padova, 2022. http://hdl.handle.net/11577/3449043.
Texte intégralGaussian graphical models (GGM) are a family of multivariate normal distributions whose conditional independence structure is represented by an undirected graph, where the vertices represent variables and every missing edge implies that the corresponding entry of the concentration matrix, which is the inverse of the covariance matrix, equals zero; see Lauritzen (1996). Hojsgaard and Lauritzen (2008) introduced colored GGMs which are GGMs with additional symmetry restrictions on the concentration matrix in the form of equality constraints on the parameters, which are depicted on the dependence graph by colorings of edges and vertices. The application of colored GGMs was motivated by the need of reducing the number of parameters when estimating covariance matrices of large dimensions with relatively few observations. On the other hand, there exist applied contexts where symmetry restrictions naturally follow from substantive research hypotheses of interest. A relevant instance is provided by the problem of joint learning of multiple graphical models, where observations come from two or more groups sharing the same variables. The association structure of each group is represented by a network and it is expected that there are similarities between groups. In paired data, the two groups are not independent because two sets of homologous variables are observed on every statistical unit. In this thesis, we focus on the application of colored GGMs to the joint learning of graphical models for paired data that, in the following, we call colored graphical models for paired data (PDCGMs). Although the symmetric restrictions implied by a colored GGM may usefully reduce the model dimensionality, the problem of model identification is much more challenging than in GGMs because both the dimensionality and complexity of the search spaces highly increase. For the construction of efficient model selection methods, it is imperative to understand the structure of model classes. In this work, we consider PDCGMs and show that this class of models forms a non-distributive lattice under the model inclusion order $\preceq_{\mathcal{C}}$. We then introduce a novel partial order $\preceq_{\tau}$ for this class of models and call it the twin order. Such order coincides with the model inclusion if two models are $\preceq_{\mathcal{C}}$ comparable but that also includes a relationship between certain models which are $\preceq_{\mathcal{C}}$ incomparable. We show that the class of PDCGMs forms a distributive lattice under the twin order and then we use this lattice to implement a coherent backward elimination stepwise procedure. Gabriel (1969) introduced the principle of coherence ``in any procedure involving multiple comparisons no hypothesis should be accepted if any hypothesis implied by it is rejected". We remark that we say ``accepted" instead of ``non-rejected". Consider a goodness-of-fit test for testing models at a level $\alpha$ so that for every model we can determine whether the model is rejected or accepted. In this context, the coherence is typically implemented by requiring that we should not accept a model while rejecting a more general model; see Edwards and Havranek (1987). Hence, under this formulation of the coherence, in a greedy search if a model is rejected then all its submodels are considered rejected without further testing. However, we show that the lattice of PDCGMs under model inclusion does not provide a proper implementation of the coherence principle. On the other hand, the coherence can be properly implemented on the distributive lattice under the twin order. We, therefore, introduce a backward elimination stepwise procedure with local moves on our distributive lattice which satisfies the coherence principle. This procedure is implemented in the programming language R and its behavior is investigated on the simulated data. Finally, this procedure is applied to the identification of the brain network from fMRI data.
Protti, Valentina. « Modelli predittivi per l’analisi e la gestione della “catena del freddo” ». Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
Trouver le texte intégralLiparesi, Andrea. « Sviluppo di modelli multiregressivi per la stima della percentuale annuale di giorni a deflusso nullo in corsi d’acqua a regime intermittente ». Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016.
Trouver le texte intégralBonantini, Andrea. « Analisi di dati e sviluppo di modelli predittivi per sistemi di saldatura ». Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24664/.
Texte intégralLivres sur le sujet "Modelli grafici a catena"
Salvatore, Barba, dir. Modelli grafici dell'architettura e del territorio. [Salerno, Italy] : CUES, 2013.
Trouver le texte intégralEpigrafia a Roma nel primo Medioevo (secoli IV-X) : Modelli grafici e tipologie d'uso. Roma : Jouvence, 2008.
Trouver le texte intégralBoethiana aetas : Modelli grafici e fortuna manoscritta della "Consolatio philosophiae" tra IX e XII secolo. Alessandria : Edizioni dell'Orso, 1987.
Trouver le texte intégralChapitres de livres sur le sujet "Modelli grafici a catena"
« Modelli grafici tra Demetrio Scarano e Ambrogio Traversari ». Dans Griechisch-byzantinische Handschriftenforschung, 249–64. De Gruyter, 2020. http://dx.doi.org/10.1515/9783110366358-016.
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