Nonparametric Bayesian Inference in Biostatistics
Language: English
Published by Springer, Palgrave Macmillan Okt 2016, 2016
Series: Book 3 of 6 - Frontiers in Probability and the Statistical Sciences
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
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£ 94.50
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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 468 pp. Englisch.…
Seller Inventory # 9783319368177
- Title
- Nonparametric Bayesian Inference in Biostatistics
- Author
- Riten Mitra
- Publisher
- Springer, Palgrave Macmillan Okt 2016
- Publication year
- 2016
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319368176
- ISBN 13
- 9783319368177
- Item weight
- 789 grams
- Dimensions
- 235x155x24 mm
- Series
- Book 3 of 6: Frontiers in Probability and the Statistical Sciences
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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