Nonparametric Bayesian Inference in Biostatistics PDF
By:Riten Mitra,Peter Müller
Published on 2015-07-25 by Springer
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.
This Book was ranked at 10 by Google Books for keyword Biostatistics.
Book ID of Nonparametric Bayesian Inference in Biostatistics's Books is C9hECgAAQBAJ, Book which was written byRiten Mitra,Peter Müllerhave ETAG "Dnw0avzh+lg"
Book which was published by Springer since 2015-07-25 have ISBNs, ISBN 13 Code is 9783319195186 and ISBN 10 Code is 3319195182
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Book which have "448 Pages" is Printed at BOOK under CategoryMedical
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