Editors:
- Research showcased here comes from international scholars, who presented at EBEB 2014 - XII Brazilian Meeting on Bayesian Statistics
- Conference and refereed papers here showcase Bayesian Statistics, from theoretical questions to solving problems with real word data
- EBEB is held by the ISBrA, the International Society for Bayesian Analysis, one of the most active chapters of ISBA (the International Society for Bayesian Analysis)
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 118)
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Table of contents (30 papers)
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Front Matter
About this book
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.
Editors and Affiliations
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Federal University of Sao Carlos, Sao Carlos, Brazil
Adriano Polpo
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University of Sao Paulo, Sao Carlos, Brazil
Francisco Louzada
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Campinas State University, Campinas, Brazil
Laura L. R. Rifo
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Dept. of Applied Mathematics, University of Sao Paulo Institute of Mathematics and Statistics, Sao Paulo, Brazil
Julio M. Stern
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School of Arts, Sciences and Humanities, University of Sao Paulo, Sao Paulo, Brazil
Marcelo Lauretto
Bibliographic Information
Book Title: Interdisciplinary Bayesian Statistics
Book Subtitle: EBEB 2014
Editors: Adriano Polpo, Francisco Louzada, Laura L. R. Rifo, Julio M. Stern, Marcelo Lauretto
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-12454-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-12453-7Published: 23 March 2015
Softcover ISBN: 978-3-319-35268-8Published: 05 October 2016
eBook ISBN: 978-3-319-12454-4Published: 25 February 2015
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XVIII, 366
Number of Illustrations: 22 b/w illustrations, 45 illustrations in colour
Topics: Statistical Theory and Methods, Statistics for Life Sciences, Medicine, Health Sciences, Statistics, general