Thematische Bibliographien / Bayesian estimate / Dissertationen
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Dissertationen zum Thema „Bayesian estimate“

Autor: Grafiati
Veröffentlicht am 28. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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1

OLIVEIRA, ANA CRISTINA BERNARDO DE. "BAYESIAN MODEL TO ESTIMATE ADVERTISING RECALL IN MARKETING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1997. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7528@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>A importância de sistemas que monitorem continuamente as resposta dos consumidores à propaganda é notadamente reconhecida pela comunidade de pesquisa de mercado. A coleta sistemática deste tipo de informação é importante porque através desta, pode-se revisar campanhas anteriores, corrigir tendências detectadas em pré-testes e melhor orientar as tomadas de decisão nos setores de propaganda. O presente trabalho contém um modelo para tentar medir esta resposta baseada em Modelos Lineares Dinâmicos Generalizados.<br>Analysis
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2

James, Peter Welbury. "Design and analysis of studies to estimate cerebral blood flow." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251020.

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3

Rodewald, Oliver Russell. "Use of Bayesian inference to estimate diversion likelihood in a PUREX facility." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/76951.

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Thesis (S.M. and S.B.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 66-67).<br>Nuclear Fuel reprocessing is done today with the PUREX process, which has been demonstrated to work at industrial scales at several facilities around the world. Use of the PUREX process results in the creation of a stream of pure plutonium, which allows the process to be potentially used by a proliferator. Safeguards have been put in place by the IAEA and other agencies to guard against the
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SOUZA, MARCUS VINICIUS PEREIRA DE. "A BAYESIAN APPROACH TO ESTIMATE THE EFFICIENT OPERATIONAL COSTS OF ELECTRICAL ENERGY UTILITIES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=12361@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>Esta tese apresenta os principais resultados de medidas de eficiência dos custos operacionais de 60 distribuidoras brasileiras de energia elétrica. Baseado no esquema yardstick competition, foi utilizado uma Rede Neural d e Kohonen (KNN) para identificar grupos de empresas similares. Os resultados obtidos pela KNN não são determinísticos, visto que os pesos sinápticos da rede são inicializados aleatoriamente. Então, é realizada uma simulação de Monte Carlo para encontrar os clusters mais frequentes. As medidas foram obtidas por mode
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Xiao, Yuqing. "Estimate the True Pass Probability for Near-Real-Time Monitor Challenge Data Using Bayesian Analysis." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/math_theses/20.

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The U.S. Army¡¯s Chemical Demilitarization are designed to store, treat and destroy the nation¡¯s aging chemical weapons. It operates Near-Real-Time Monitors and Deport Area Monitoring Systems to detect chemical agent at concentrations before they become dangerous to workers, public health and the environment. CDC recommends that the sampling and analytical methods measure within 25% of the true concentration 95% of the time, and if this criterion is not met the alarm set point or reportable level should be adjusted. Two methods were provided by Army¡¯s Programmatic Laboratory and Monitoring Q
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HUAMANI, LUIS ALBERTO NAVARRO. "A BAYESIAN PROCEDUCE TO ESTIMATE THE INDIVIDUAL CONTRIBUTION OF INDIVIDUAL END USES IN RESIDENCIAL ELECTRICAL ENERGY CONSUMPTION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1997. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8691@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Esta dissertação investiga a utilização do Modelo de Regressão Multivariada Seemingly Unrelated sob uma perspectiva Bayesiana, na estimação das curvas de carga dos principais eletrodomésticos. Será utilizada uma estrutura de Demanda Condicional (CDA), consideradas de especial interesse no setor comercial e residencial para o gerenciamento pelo lado da demanda (Demand Side Management) dos hábitos dos consumidores residenciais. O trabalho envolve três partes principais: uma apresentação das metodologias estatísticas cláss
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Bergström, David. "Bayesian optimization for selecting training and validation data for supervised machine learning : using Gaussian processes both to learn the relationship between sets of training data and model performance, and to estimate model performance over the entire problem domain." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157327.

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Validation and verification in machine learning is an open problem which becomes increasingly important as its applications becomes more critical. Amongst the applications are autonomous vehicles and medical diagnostics. These systems all needs to be validated before being put into use or else the consequences might be fatal. This master’s thesis focuses on improving both learning and validating machine learning models in cases where data can either be generated or collected based on a chosen position. This can for example be taking and labeling photos at the position or running some simulatio
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Li, Qing. "Recurrent-Event Models for Change-Points Detection." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/78207.

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The driving risk of novice teenagers is the highest during the initial period after licensure but decreases rapidly. This dissertation develops recurrent-event change-point models to detect the time when driving risk decreases significantly for novice teenager drivers. The dissertation consists of three major parts: the first part applies recurrent-event change-point models with identical change-points for all subjects; the second part proposes models to allow change-points to vary among drivers by a hierarchical Bayesian finite mixture model; the third part develops a non-parametric Bayesian
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Benko, Matej. "Hledaní modelů pohybu a jejich parametrů pro identifikaci trajektorie cílů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-445467.

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Táto práca sa zaoberá odstraňovaním šumu, ktorý vzniká z tzv. multilateračných meraní leteckých cieľov. Na tento účel bude využitá najmä teória Bayesovských odhadov. Odvodí sa aposteriórna hustota skutočnej (presnej) polohy lietadla. Spolu s polohou (alebo aj rýchlosťou) lietadla bude odhadovaná tiež geometria trajektórie lietadla, ktorú lietadlo v aktuálnom čase sleduje a tzv. procesný šum, ktorý charakterizuje ako moc sa skutočná trajektória môže od tejto líšiť. Odhad spomínaného procesného šumu je najdôležitejšou časťou tejto práce. Je odvodený prístup maximálnej vierohodnosti a Bayesovský
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Marković, Dimitrije, and Stefan J. Kiebel. "Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-214867.

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Probabilistic models of decision making under various forms of uncertainty have been applied in recent years to numerous behavioral and model-based fMRI studies. These studies were highly successful in enabling a better understanding of behavior and delineating the functional properties of brain areas involved in decision making under uncertainty. However, as different studies considered different models of decision making under uncertainty, it is unclear which of these computational models provides the best account of the observed behavioral and neuroimaging data. This is an important issue,
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Nickless, Alecia. "Regional CO₂ flux estimates for South Africa through inverse modelling." Doctoral thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29703.

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Bayesian inverse modelling provides a top-down technique of verifying emissions and uptake of carbon dioxide (CO₂) from both natural and anthropogenic sources. It relies on accurate measurements of CO₂ concentrations at appropriately placed sites and "best-guess" initial estimates of the biogenic and anthropogenic emissions, together with uncertainty estimates. The Bayesian framework improves current estimates of CO₂ fluxes based on independent measurements of CO₂ concentrations while being constrained by the initial estimates of these fluxes. Monitoring, reporting and verification (MRV) is cr
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Guo, Changbin. "Bayesian Reference Inference on the Ratio of Poisson Rates." Digital Commons @ East Tennessee State University, 2006. https://dc.etsu.edu/etd/2194.

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Bayesian reference analysis is a method of determining the prior under the Bayesian paradigm. It incorporates as little information as possible from the experiment. Estimation of the ratio of two independent Poisson rates is a common practical problem. In this thesis, the method of reference analysis is applied to derive the posterior distribution of the ratio of two independent Poisson rates, and then to construct point and interval estimates based on the reference posterior. In addition, the Frequentist coverage property of HPD intervals is verified through simulation.
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Marković, Dimitrije, and Stefan J. Kiebel. "Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments." Frontiers Research Foundation, 2016. https://tud.qucosa.de/id/qucosa%3A30009.

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Probabilistic models of decision making under various forms of uncertainty have been applied in recent years to numerous behavioral and model-based fMRI studies. These studies were highly successful in enabling a better understanding of behavior and delineating the functional properties of brain areas involved in decision making under uncertainty. However, as different studies considered different models of decision making under uncertainty, it is unclear which of these computational models provides the best account of the observed behavioral and neuroimaging data. This is an important issue,
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Brown, George Gordon Jr. "Comparing Bayesian, Maximum Likelihood and Classical Estimates for the Jolly-Seber Model." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010525-142731.

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<p>BROWN Jr., GEORGE GORDON . Comparing Bayesian, Maximum Likelihood and Classical Estimates for the Jolly-Seber Model. (Under the direction of John F. Monahan and Kenneth H. Pollock)In 1965 Jolly and Seber proposed a model to analyze data for open population capture-recapture studies. Despite frequent use of the Jolly-Seber model, likelihood-based inference is complicated by the presence of a number of unobservable variables that cannot be easily integrated from the likelihood. In order to avoid integration, various statistical methods have been employed to obtain meaningful parameter estimat
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Liu, Liang. "Reconstructing posterior distributions of a species phylogeny using estimated gene tree distributions." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1155754980.

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Luo, Shihua. "Bayesian Estimation of Small Proportions Using Binomial Group Test." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/744.

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Group testing has long been considered as a safe and sensible relative to one-at-a-time testing in applications where the prevalence rate p is small. In this thesis, we applied Bayes approach to estimate p using Beta-type prior distribution. First, we showed two Bayes estimators of p from prior on p derived from two different loss functions. Second, we presented two more Bayes estimators of p from prior on π according to two loss functions. We also displayed credible and HPD interval for p. In addition, we did intensive numerical studies. All results showed that the Bayes estimator was preferr
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Shamseldin, Elizabeth C. Smith Richard L. "Asymptotic multivariate kriging using estimated parameters with bayesian prediction methods for non-linear predictands." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,1515.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2008.<br>Title from electronic title page (viewed Sep. 16, 2008). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Statistics and Operations Research Statistics." Discipline: Statistics and Operations Research; Department/School: Statistics and Operations Research.
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Khan, Mohammad Sajjad Coulibaly Paulin. "Climate change impact study on water resources with uncertainty estimates using Bayesian neural network." *McMaster only, 2006.

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Arruda, Gustavo. "DSGE model with banking sector for emerging economies: estimated using Bayesian methodology for Brazil." reponame:Repositório Institucional do FGV, 2013. http://hdl.handle.net/10438/10574.

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Submitted by Gustavo Arruda (gustavofea@gmail.com) on 2013-03-01T19:26:05Z No. of bitstreams: 1 Dissertação Gustavo Arruda -final.pdf: 429365 bytes, checksum: 0b43505e1650c187e0c671b7ed538fce (MD5)<br>Approved for entry into archive by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br) on 2013-03-01T19:36:36Z (GMT) No. of bitstreams: 1 Dissertação Gustavo Arruda -final.pdf: 429365 bytes, checksum: 0b43505e1650c187e0c671b7ed538fce (MD5)<br>Made available in DSpace on 2013-03-01T19:37:31Z (GMT). No. of bitstreams: 1 Dissertação Gustavo Arruda -final.pdf: 429365 bytes, checksum: 0b43505e1650
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Breuss, Fritz, and Katrin Rabitsch. "An estimated two-country DSGE model of Austria and the Euro Area." Europainstitut, WU Vienna University of Economics and Business, 2008. http://epub.wu.ac.at/558/1/document.pdf.

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We present a two-country New Open Economy Macro model of the Austrian economy within the European Union's Economic & Monetary Union (EMU). The model includes both nominal and real frictions that have proven to be important in matching business cycle facts, and that allows for an investigation of the effects and cross-country transmission of a number of structural shocks: shocks to technologies, shocks to preferences, cost-push type shocks and policy shocks. The model is estimated using Bayesian methods on quarterly data covering the period of 1976:Q1- 2005:Q1. In addition to the assessment of
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Som, Agniva. "Paradoxes and Priors in Bayesian Regression." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406197897.

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Jahan, Farzana. "New insights into Bayesian models for spatial data." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/212622/1/Farzana%20Jahan%20Thesis.pdf.

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Spatial data is often aggregated into small area. It is challenging to analyse these data. Two new statistical techniques were developed to tackle these challenges. Bayesian meta-analysis models were used to unveil geographic disparities in cancer using the Australian Cancer Atlas. More flexible Bayesian Empirical Likelihood models were used to analyse more complex data including COVID19 deaths. Both methods provided new insights into the analysis of spatial data.
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Vesper, Andrew Jay. "Three Essays of Applied Bayesian Modeling: Financial Return Contagion, Benchmarking Small Area Estimates, and Time-Varying Dependence." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10912.

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This dissertation is composed of three chapters, each an application of Bayesian statistical models to particular research questions. In Chapter 1, we evaluate systemic risk exposure of financial institutions. Building upon traditional regime switching approaches, we propose a network model for volatility contagion to assess linkages between institutions in the financial system. Focusing empirical analysis on the financial sector, we find that network connectivity has dynamic properties, with linkages between institutions increasing immediately before the recent crisis. Out-of-sample forecasts
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Souza, Isaac Jales Costa. "Estima??o bayesiana no modelo pot?ncia normal bimodal assim?trico." PROGRAMA DE P?S-GRADUA??O EM MATEM?TICA APLICADA E ESTAT?STICA, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/21722.

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Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-01-13T12:23:37Z No. of bitstreams: 1 IsaacJalesCostaSouza_DISSERT.pdf: 808186 bytes, checksum: 0218f6e40a4dfea5b56a9d90f17e0bfb (MD5)<br>Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-01-23T13:11:35Z (GMT) No. of bitstreams: 1 IsaacJalesCostaSouza_DISSERT.pdf: 808186 bytes, checksum: 0218f6e40a4dfea5b56a9d90f17e0bfb (MD5)<br>Made available in DSpace on 2017-01-23T13:11:35Z (GMT). No. of bitstreams: 1 IsaacJalesCostaSouza_DISSERT.pdf: 808186 bytes, checksum: 0218f6e40a4dfea5b56a
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Ballesta, Artero Irene Maria. "Influence of the Estimator Selection in Scalloped Hammerhead Shark Stock Assessment." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/24819.

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In natural sciences, frequentist paradigm has led statistical practice; however, Bayesian approach has been gaining strength in the last decades. Our study assessed the scalloped hammerhead shark population on the western North Atlantic Ocean using Bayesian methods. This approach allowed incorporate diverse types of errors in the surplus production model and compare the influences of different statistical estimators on the values of the key parameters (r, growth rate; K carrying capacity; depletion, FMSY , fishing levels that would sustain maximum yield; and NMSY, abundance at maximum sustaina
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Zhong, Jinquan. "Seismic fragility estimates for corroded reinforced concrete bridge structures with two-column bents." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3143.

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Wu, Yi-Fang. "Accuracy and variability of item parameter estimates from marginal maximum a posteriori estimation and Bayesian inference via Gibbs samplers." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/5879.

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Item response theory (IRT) uses a family of statistical models for estimating stable characteristics of items and examinees and defining how these characteristics interact in describing item and test performance. With a focus on the three-parameter logistic IRT (Birnbaum, 1968; Lord, 1980) model, the current study examines the accuracy and variability of the item parameter estimates from the marginal maximum a posteriori estimation via an expectation-maximization algorithm (MMAP/EM) and the Markov chain Monte Carlo Gibbs sampling (MCMC/GS) approach. In the study, the various factors which have
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Baker, Peter John. "Applied Bayesian modelling in genetics." Thesis, Queensland University of Technology, 2001.

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Leotti, Vanessa Bielefeldt. "Modelos bayesianos para estimar risco relativo em desfechos binários e politômicos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/80066.

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A razão de chances (RC) e o risco relativo (RR) são medidas de associação utilizadas em epidemiologia. Existem discussões sobre desvantagens da RC como medida de associação em delineamentos prospectivos, e que nestes o RR deve ser utilizado, especialmente se o desfecho for comum (>10%). No caso de desfechos binários e dados independentes, alternativas ao uso da RC estimada pela regressão logística foram propostas. Uma delas é o modelo log-binomial e outra é a regressão de Poisson com variância robusta. Tais modelos permitem identificar fatores associados ao desfecho e estimar a probabilidade d
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Devulder, Antoine. "Involuntary unemployment and financial frictions in estimated DSGE models." Thesis, Paris 1, 2016. http://www.theses.fr/2016PA01E016/document.

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L’utilisation de modèles DSGE, construits à partir de comportements micro-fondés des agents économiques, s'est progressivement imposée aux institutions pour l'analyse macroéconomique du cycle d'affaires et l'évaluation de politiques, grâce à leur cohérence interne. La crise financière récente et la préoccupation que représente la persistance du chômage à un niveau élevé plaident en faveur de modèles qui tiennent compte des ajustements imparfaits de l'offre et de la demande sur les marchés du crédit et du travail. Pourtant, des modèles relativement rudimentaires dans leur représentation de ces
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Otieno, Wilkistar. "A Framework for Determining the Reliability of Nanoscale Metallic Oxide Semiconductor (MOS) Devices." Scholar Commons, 2010. http://scholarcommons.usf.edu/etd/3499.

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An increase in worldwide investments during the past several decades has pro-pelled scienti c breakthroughs in nanoscience and technology research to new and exciting levels. To ensure that these discoveries lead to commercially viable prod-ucts, it is important to address some of the fundamental engineering and scientific challenges related to nanodevices. Due to the centrality of reliability to product integrity, nanoreliability requires critical analysis and understanding to ensure long-term sustainability of nanodevices and systems. In this study, we construct a relia-bility framework for
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Costa, Eliardo Guimarães da. "Tamanho amostral para estimar a concentração de organismos em água de lastro: uma abordagem bayesiana." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05072018-164225/.

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Metodologias para obtenção do tamanho amostral para estimar a concentração de organismos em água de lastro e verificar normas internacionais são desenvolvidas sob uma abordagem bayesiana. Consideramos os critérios da cobertura média, do tamanho médio e da minimização do custo total sob os modelos Poisson com distribuição a priori gama e binomial negativo com distribuição a priori Pearson Tipo VI. Além disso, consideramos um processo Dirichlet como distribuição a priori no modelo Poisson com o propósito de obter maior flexibilidade e robustez. Para fins de aplicação, implementamos rotinas compu
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He, Qing. "Investigating the performance of process-observation-error-estimator and robust estimators in surplus production model: a simulation study." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/76859.

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This study investigated the performance of the three estimators of surplus production model including process-observation-error-estimator with normal distribution (POE_N), observation-error-estimator with normal distribution (OE_N), and process-error-estimator with normal distribution (PE_N). The estimators with fat-tailed distributions including Student's t distribution and Cauchy distribution were also proposed and their performances were compared with the estimators with normal distribution. This study used Bayesian method, revised Metropolis Hastings within Gibbs sampling algorithm (MHGS)
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Heywood, Ben. "Investigations into the use of quantified Bayesian maximum entropy methods to generate improved distribution maps and biomass estimates from fisheries acoustic survey data /." St Andrews, 2008. http://hdl.handle.net/10023/512.

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Patel, Ekta, Gurtina Besla, and Kaisey Mandel. "Orbits of massive satellite galaxies - II. Bayesian estimates of the Milky Way and Andromeda masses using high-precision astrometry and cosmological simulations." OXFORD UNIV PRESS, 2017. http://hdl.handle.net/10150/624428.

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In the era of high-precision astrometry, space observatories like the Hubble Space Telescope (HST) and Gaia are providing unprecedented 6D phase-space information of satellite galaxies. Such measurements can shed light on the structure and assembly history of the Local Group, but improved statistical methods are needed to use them efficiently. Here we illustrate such a method using analogues of the Local Group's two most massive satellite galaxies, the Large Magellanic Cloud (LMC) and Triangulum (M33), from the Illustris dark-matter-only cosmological simulation. We use a Bayesian inference sch
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Almeida, Josemir Ramos de. "Estima??o cl?ssica e Bayesiana em modelos de sobrevida com fra??o de cura." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/17012.

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Made available in DSpace on 2014-12-17T15:26:39Z (GMT). No. of bitstreams: 1 JosemirRA_DISSERT.pdf: 5246271 bytes, checksum: fe59e69070ae193e15ab79d805c3b449 (MD5) Previous issue date: 2013-03-22<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>In Survival Analysis, long duration models allow for the estimation of the healing fraction, which represents a portion of the population immune to the event of interest. Here we address classical and Bayesian estimation based on mixture models and promotion time models, using different distributions (exponential, Weibull and Pareto)
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Ilangakoon, Nayani Thanuja. "Relationship between leaf area index (LAI) estimated by terrestrial LiDAR and remotely sensed vegetation indices as a proxy to forest carbon sequestration." Bowling Green State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1402857524.

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Silva, Karolina Barone Ribeiro da. "Estimativas de máxima verosimilhança e bayesianas do número de erros de um software." Universidade Federal de São Carlos, 2006. https://repositorio.ufscar.br/handle/ufscar/4498.

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Made available in DSpace on 2016-06-02T20:05:58Z (GMT). No. of bitstreams: 1 DissKBRS.pdf: 617246 bytes, checksum: 9436ee8984a49f5df072023b717747c6 (MD5) Previous issue date: 2006-02-24<br>In this work we present the methodology of capture-recapture, under the classic and bayesian approach, to estimate the number of errors of software through inspection by distinct reviewers. We present the general statistical model considering independence among errors and among reviewers and consider the particular cases of equally detectable errors (homogeneous) and reviewers not equally e¢ cient (heterog
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Fässler, Sascha M. M. "Target strength variability in Atlantic herring (Clupea harengus) and its effect on acoustic abundance estimates." Thesis, University of St Andrews, 2010. http://hdl.handle.net/10023/1703.

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Acoustic survey techniques are widely used to quantify abundance and distribution of a variety of pelagic fish such as herring (Clupea harengus). The information provided is becoming increasingly important for stock assessment and ecosystem studies, however, the data collected are used as relative indices rather than absolute measures, due to the uncertainty of target strength (TS) estimates. A fish’s TS is a measure of its capacity to reflect sound and, therefore, the TS value will directly influence the estimate of abundance from an acoustic survey. The TS is a stochastic variable, dependent
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Gebremeskel, Haftu Gebrehiwot. "Implementing hierarchical bayesian model to fertility data: the case of Ethiopia." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3424458.

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Background: Ethiopia is a country with 9 ethnically-based administrative regions and 2 city administrations, often cited, among other things, with high fertility rates and rapid population growth rate. Despite the country’s effort in their reduction, they still remain high, especially at regional-level. To this end, the study of fertility in Ethiopia, particularly on its regions, where fertility variation and its repercussion are at boiling point, is paramount important. An easy way of finding different characteristics of a fertility distribution is to build a suitable model of fertility patte
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Bruzzone, Andrea. "P-SGLD : Stochastic Gradient Langevin Dynamics with control variates." Thesis, Linköpings universitet, Statistik och maskininlärning, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-140121.

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Year after years, the amount of data that we continuously generate is increasing. When this situation started the main challenge was to find a way to store the huge quantity of information. Nowadays, with the increasing availability of storage facilities, this problem is solved but it gives us a new issue to deal with: find tools that allow us to learn from this large data sets. In this thesis, a framework for Bayesian learning with the ability to scale to large data sets is studied. We present the Stochastic Gradient Langevin Dynamics (SGLD) framework and show that in some cases its approxima
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Justino, Josivan Ribeiro. "Estimativas de mortalidade para a regi?o nordeste do Brasil em 2010: uma associa??o do m?todo demogr?fico equa??o geral de balanceamento, com o estimador bayesiano emp?rico." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/13859.

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Made available in DSpace on 2014-12-17T14:23:30Z (GMT). No. of bitstreams: 1 JosivanRJ_DISSERT.pdf: 3858170 bytes, checksum: cf220eba177815a3f2e7efdc0fc51b69 (MD5) Previous issue date: 2013-08-15<br>One of the greatest challenges of demography, nowadays, is to obtain estimates of mortality, in a consistent manner, mainly in small areas. The lack of this information, hinders public health actions and leads to impairment of quality of classification of deaths, generating concern on the part of demographers and epidemiologists in obtaining reliable statistics of mortality in the country. In thi
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Missiagia, Juliano Gallina. "Estimação Bayesiana do tamanho de uma população de diabéticos através de listas de pacientes." Universidade Federal de São Carlos, 2005. https://repositorio.ufscar.br/handle/ufscar/4550.

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Made available in DSpace on 2016-06-02T20:06:05Z (GMT). No. of bitstreams: 1 4034.pdf: 873658 bytes, checksum: 8c8e2d629291b4edab052dd0ee734f94 (MD5) Previous issue date: 2005-02-25<br>Financiadora de Estudos e Projetos<br>In this work, a bayesian methodology is shown to estimate the size of a diabethic-su¤ering population through lists containing information data of patients. The applied methodology is analogous of capture-recaptures in animal population. We assume correct the registers of relative information to the patients as well as we take in account correct and incorrect registers of
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Top, Alioune. "Estimation paramétriques et tests d'hypothèses pour des modèles avec plusieurs ruptures d'un processus de poisson." Thesis, Le Mans, 2016. http://www.theses.fr/2016LEMA1014/document.

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Ce travail est consacré aux problèmes d’estimation paramétriques, aux tests d’hypothèses et aux tests d’ajustement pour les processus de Poisson non homogènes.Tout d’abord on a étudié deux modèles ayant chacun deux sauts localisés par un paramètre inconnu. Pour le premier modèle la somme des sauts est positive. Tandis que le second a un changement de régime et constant par morceaux. La somme de ses deux sauts est nulle. Ainsi pour chacun de ces modèles nous avons étudié les propriétés asymptotiques de l’estimateur bayésien (EB) et celui du maximum de vraisemblance(EMV). Nous avons montré la co
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Andrade, Chávez Francisco Mauricio. "Modelo de regresión Dirichlet bayesiano: aplicación para estimar la prevalencia del nivel de anemia infantil en centros poblados del Perú." Master's thesis, Pontificia Universidad Católica del Perú, 2020. http://hdl.handle.net/20.500.12404/18683.

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La anemia es una afección causada por un bajo nivel de hemoglobina en la sangre causada principalmente por un déficit en el consumo de hierro. En el Perú, es un problema de salud pública y nutrición principalmente en niñas y niños menores de cinco años, por ello el Instituto Nacional de Estadística (INEI) realiza una prueba para determinar anemia en niñas y niños a través de la Encuesta Demográfica y de Salud Familiar (ENDES). En esta encuesta se clasifica los niveles de anemia como severa si es menor a 7,0 g/dl, moderada si está entre 7,0 y 9,9 g/dl o leve si varía entre 10,0 y 11,9 g/d
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Molinari, Benedetto. "Sticky information and non-pricing policies in DSGE models." Doctoral thesis, Universitat Pompeu Fabra, 2008. http://hdl.handle.net/10803/7379.

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La tesis consta de dos partes. En la primera parte se analiza la relación entre las fricciones en los flujos de información que llegan a la empresa y la persistencia del patrón de la inflación. En particular, se presenta un nuevo estimador por el modelo de Makiw y Reis (2002) "Sticky Information Phillips Curve", y se aplica usando datos trimestrales de EE.UU. El resultado principal es que el modelo tan solo puede explicar la persistencia de la inflación asumiendo que la variancia de la inflación sea mucho mas grande de la que observamos o, equivalentemente, que el modelo no puede explicar conj
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Kubo, Hisahiko. "Study on rupture processes of large interplate earthquakes estimated by fully Bayesian source inversions using multi period-band strong-motion data －The 2011 Tohoku-oki and the 2011 Ibaraki-oki earthquakes－." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199110.

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48

Pereira, da Silva Hélio Doyle. "Aplicación de modelos bayesianos para estimar la prevalencia de enfermedad y la sensibilidad y especificidad de tests de diagnóstico clínico sin gold standard." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/523505.

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Dos objetivos claves de la investigación diagnóstica son estimar con exactitud y precisión la prevalencia de la enfermedad y la sensibilidad y especificidad de tests diagnósticos. Se han desarrollado modelos de clases latentes que tienen en cuenta la correlación entre las medidas de los individuos determinadas con diferentes tests con el fin de diagnosticar enfermedades para las cuales no están disponibles tests gold standard. En algunos estudios clínicos, se hacen varias medidas del mismo individuo con el mismo test en las mismas condiciones y, por tanto, las mediciones replicadas para cada i
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Budde, Kiran Kumar. "A Matlab Toolbox for fMRI Data Analysis: Detection, Estimation and Brain Connectivity." Thesis, Linköpings universitet, Datorseende, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-81314.

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Functional Magnetic Resonance Imaging (fMRI) is one of the best techniques for neuroimaging and has revolutionized the way to understand the brain functions. It measures the changes in the blood oxygen level-dependent (BOLD) signal which is related to the neuronal activity. Complexity of the data, presence of different types of noises and the massive amount of data makes the fMRI data analysis a challenging one. It demands efficient signal processing and statistical analysis methods.  The inference of the analysis is used by the physicians, neurologists and researchers for better understanding of
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Motrunich, Anastasiia. "Estimation des paramètres pour les séquences de Markov avec application dans des problèmes médico-économiques." Thesis, Le Mans, 2015. http://www.theses.fr/2015LEMA1009/document.

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Dans la première partie de cette thèse, nous considérons plusieurs problèmes d'estimation de paramètre de dimension finie pour les séquences de Markov dans l'asymptotique des grands échantillons. Le comportement asymptotique des estimateurs bayésiens et les estimateurs obtenus par la méthode des moments sont décrits. Nous montrons que sous les conditions de régularité ces estimateurs sont consistants et asymptotiquement normaux et que l'estimateur bayésien est asymptotiquement efficace. Les estimateur-processus du maximum de vraisemblance un-pas et deux-pas sont étudiés. Ces estimateurs nous p
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