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Bayesian Nonparametric Data Analysis
Peter Mueller
€ 133.85
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Description for Bayesian Nonparametric Data Analysis
Hardback. Series: Springer Series in Statistics. Num Pages: 193 pages, 49 black & white illustrations, 10 colour illustrations, biography. BIC Classification: PBT; UFM. Category: (P) Professional & Vocational. Dimension: 246 x 163 x 17. Weight in Grams: 456.
This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones. The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code ... Read more
This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book's structure follows a data analysis perspective. As such, the chapters are organized by traditional data analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones. The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The book also includes an extensive discussion of computational methods and details on their implementation. R code ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2015
Series
Springer Series in Statistics
Condition
New
Number of Pages
193
Place of Publication
Cham, Switzerland
ISBN
9783319189673
SKU
V9783319189673
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Peter Mueller
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. Fernando Andres Quintana is Professor in the Department of Statistics at Pontificia Universidad Catolica de Chile ... Read more
Reviews for Bayesian Nonparametric Data Analysis
There is much to like about the book under review. The authors present Bayesian nonparametric statistics focusing on how it is applied in data analysis. ... This is a book for a statistician or graduate student that has accepted the Bayesian approach and would like to know more about Bayesian approaches to nonparametric problems. (Ross S. McVinish, Mathematical Reviews, ... Read more