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12th Brazilian Meeting on Bayesian Statistics

Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in biostati...

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Detalles Bibliográficos
Autores principales: Polpo, Adriano, Louzada, Francisco, Rifo, Laura, Stern, Julio, Lauretto, Marcelo
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-12454-4
http://cds.cern.ch/record/1996723
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author Polpo, Adriano
Louzada, Francisco
Rifo, Laura
Stern, Julio
Lauretto, Marcelo
author_facet Polpo, Adriano
Louzada, Francisco
Rifo, Laura
Stern, Julio
Lauretto, Marcelo
author_sort Polpo, Adriano
collection CERN
description Through refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in biostatistics, clinical trials, law, engineering, and the social sciences. EBEB, the Brazilian Meeting on Bayesian Statistics, is held every two years by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of the ISBA. The 12th meeting took place March 10-14, 2014 in Atibaia. Interest in foundations of inductive Statistics has grown recently in accordance with the increasing availability of Bayesian methodological alternatives. Scientists need to deal with the ever more difficult choice of the optimal method to apply to their problem. This volume shows how Bayes can be the answer. The examination and discussion on the foundations work towards the goal of proper application of Bayesian methods by the scientific community. Individual papers range in focus from posterior distributions for non-dominated models, to combining optimization and randomization approaches for the design of clinical trials, and classification of archaeological fragments with Bayesian networks.
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spelling cern-19967232021-04-22T06:58:39Zdoi:10.1007/978-3-319-12454-4http://cds.cern.ch/record/1996723engPolpo, AdrianoLouzada, FranciscoRifo, LauraStern, JulioLauretto, Marcelo12th Brazilian Meeting on Bayesian StatisticsMathematical Physics and MathematicsThrough refereed papers, this volume focuses on the foundations of the Bayesian paradigm; their comparison to objectivistic or frequentist Statistics counterparts; and the appropriate application of Bayesian foundations. This research in Bayesian Statistics is applicable to data analysis in biostatistics, clinical trials, law, engineering, and the social sciences. EBEB, the Brazilian Meeting on Bayesian Statistics, is held every two years by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of the ISBA. The 12th meeting took place March 10-14, 2014 in Atibaia. Interest in foundations of inductive Statistics has grown recently in accordance with the increasing availability of Bayesian methodological alternatives. Scientists need to deal with the ever more difficult choice of the optimal method to apply to their problem. This volume shows how Bayes can be the answer. The examination and discussion on the foundations work towards the goal of proper application of Bayesian methods by the scientific community. Individual papers range in focus from posterior distributions for non-dominated models, to combining optimization and randomization approaches for the design of clinical trials, and classification of archaeological fragments with Bayesian networks.Springeroai:cds.cern.ch:19967232015
spellingShingle Mathematical Physics and Mathematics
Polpo, Adriano
Louzada, Francisco
Rifo, Laura
Stern, Julio
Lauretto, Marcelo
12th Brazilian Meeting on Bayesian Statistics
title 12th Brazilian Meeting on Bayesian Statistics
title_full 12th Brazilian Meeting on Bayesian Statistics
title_fullStr 12th Brazilian Meeting on Bayesian Statistics
title_full_unstemmed 12th Brazilian Meeting on Bayesian Statistics
title_short 12th Brazilian Meeting on Bayesian Statistics
title_sort 12th brazilian meeting on bayesian statistics
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-12454-4
http://cds.cern.ch/record/1996723
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AT louzadafrancisco 12thbrazilianmeetingonbayesianstatistics
AT rifolaura 12thbrazilianmeetingonbayesianstatistics
AT sternjulio 12thbrazilianmeetingonbayesianstatistics
AT laurettomarcelo 12thbrazilianmeetingonbayesianstatistics