Nonparametric Bayesian Inference in Biostatistics

Name: Nonparametric Bayesian Inference in Biostatistics
Brand: Springer International Publishing AG
SKU: 9783319195179
Price: 2689 CZK
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Autor: Peter Mueller, Riten Mitra

Jazyk:

Vazba: Pevná

Vydavatel: Springer International Publishing AG

Dostupnost: U nakladatele na objednávku

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2 689 Kč

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

Informace o knize

Autor

Peter Mueller, Riten Mitra

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2015

Stránek

448

EAN

9783319195179

ISBN

3319195174

Enbook ID

09285199

Vydavatel

Springer International Publishing AG

Hmotnost

916

Rozměry

285 x 163 x 29

Kompletní 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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Nonparametric Bayesian Inference in Biostatistics

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