Overview
- First comprehensive review of a fast growing field
- Accessible to readers with a working graduate level knowledge of statistics and interest in Bayesian inference and biomedical applications
- Most chapters include substantial applications that illustrate methods and models by addressing real research questions
- Proceeds of this book go to the International Society for Bayesian Analysis/Section on Bayesian Nonparametrics (ISBA/BNP)
- Chapters cover applications in clinical trials, spatial inference, proteomics, genomics, clustering, survival analysis and ROC curves
Part of the book series: Frontiers in Probability and the Statistical Sciences (FROPROSTAS)
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Table of contents (21 chapters)
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Introduction
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Genomics and Proteomics
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Random Functions and Response Surfaces
Keywords
About this book
Editors and Affiliations
About the editors
Riten Mitra is Assistant Professor in the Department of Bioinformatics
and Biostatistics at University of Louisville. His research interests
include Bayesian graphical models and nonparametric Bayesian methods with a special emphasis on applications in genomics and
bioinformatics.
Peter Mueller is Professor in the Department of Mathematics and the
Department of Statistics & Data Science at the University of Texas at Austin. He has published widely on nonparametric Bayesian statistics, with an emphasis on applications in biostatistics and bioinformatics.
Bibliographic Information
Book Title: Nonparametric Bayesian Inference in Biostatistics
Editors: Riten Mitra, Peter Müller
Series Title: Frontiers in Probability and the Statistical Sciences
DOI: https://doi.org/10.1007/978-3-319-19518-6
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-19517-9Published: 07 August 2015
Softcover ISBN: 978-3-319-36817-7Published: 15 October 2016
eBook ISBN: 978-3-319-19518-6Published: 25 July 2015
Series ISSN: 2624-9987
Series E-ISSN: 2624-9995
Edition Number: 1
Number of Pages: XVII, 448
Number of Illustrations: 49 b/w illustrations, 47 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Biostatistics, Statistical Theory and Methods