Nonparametric Bayesian Inference in Biostatistics is popular PDF and ePub book, written by Riten Mitra in 2015-07-25, it is a fantastic choice for those who relish reading online the Medical genre. Let's immerse ourselves in this engaging Medical book by exploring the summary and details provided below. Remember, Nonparametric Bayesian Inference in Biostatistics can be Read Online from any device for your convenience.
Nonparametric Bayesian Inference in Biostatistics Book PDF Summary
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.
Detail Book of Nonparametric Bayesian Inference in Biostatistics PDF
- Author : Riten Mitra
- Release : 25 July 2015
- Publisher : Springer
- ISBN : 9783319195186
- Genre : Medical
- Total Page : 448 pages
- Language : English
- PDF File Size : 16,7 Mb
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