Frontiers in Probability and the Statistical Sciences

Nonparametric Bayesian Inference in Biostatistics

Editors: Mitra, Riten, Müller, Peter (Eds.)

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  • ​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
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eBook $99.00
price for USA in USD (gross)
  • ISBN 978-3-319-19518-6
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  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-19517-9
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  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: November 4, 2016
  • ISBN 978-3-319-36817-7
  • Free shipping for individuals worldwide
About this book

As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches. As this book's expert contributors show, BNP approaches can be the answer. Survival Analysis, in particular survival regression, has traditionally used BNP, but BNP's potential is now very broad. This applies to important tasks like arrangement of patients into clinically meaningful subpopulations and segmenting the genome into functionally distinct regions. This book is designed to both review and introduce application areas for BNP. While existing books provide theoretical foundations, this book connects theory to practice through engaging examples and research questions. Chapters cover: clinical trials, spatial inference, proteomics, genomics, clustering, survival analysis and ROC curve.

 

About the authors

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.

Table of contents (21 chapters)

Table of contents (21 chapters)

Buy this book

eBook $99.00
price for USA in USD (gross)
  • ISBN 978-3-319-19518-6
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-19517-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week).
  • Due: November 4, 2016
  • ISBN 978-3-319-36817-7
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Nonparametric Bayesian Inference in Biostatistics
Editors
  • Riten Mitra
  • Peter Müller
Series Title
Frontiers in Probability and the Statistical Sciences
Copyright
2015
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-19518-6
DOI
10.1007/978-3-319-19518-6
Hardcover ISBN
978-3-319-19517-9
Softcover ISBN
978-3-319-36817-7
Series ISSN
2624-9987
Edition Number
1
Number of Pages
XVII, 448
Number of Illustrations
49 b/w illustrations, 47 illustrations in colour
Topics