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[Adriano Polpo de Campos]Interdisciplinary Bayesian Statistics : EBEB 2014(pdf){Zzzzz}

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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.
  
  Product Description
  From the Back Cover
  
  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.
  
  Publisher: Springer; 2015 edition (23 March 2015)
  Language: English

 ISBN-10: 3319124536
  ISBN-13: 978-3319124537
  
   						

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