Nonparametric Bayesian Inference in Biostatistics

Name: Nonparametric Bayesian Inference in Biostatistics
Brand: Springer International Publishing AG
SKU: 9783319368177
Price: 99.88 EUR
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Autor: Riten Mitra, Peter Müller

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer International Publishing AG

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As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for...

Informácie o knihe

Autor

Riten Mitra, Peter Müller

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2016

Stránok

448

EAN

9783319368177

ISBN

3319368176

Enbook ID

15193975

Vydavateľ

Springer International Publishing AG

Hmotnosť

7874

Rozmery

155 x 235 x 17

Kompletný popis

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.

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