Nonparametric Bayesian Inference in Biostatistics

Language: English

Published by Springer, 2015

3319195174 / 9783319195179

Series: Book 3 of 6 - Frontiers in Probability and the Statistical Sciences

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9783319195179

Title
Nonparametric Bayesian Inference in Biostatistics
Author
Peter Müller
Publisher
Springer
Publication year
2015
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319195174
ISBN 13
9783319195179
Item weight
948 grams
Dimensions
241x160x29 mm
Series
Book 3 of 6: Frontiers in Probability and the Statistical Sciences

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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