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Bayesian Nonparametric Data Analysis
Muller, Peter; Quintana, Fernando Andres; Jara, Alejandro; Hanson, Tim
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Description for Bayesian Nonparametric Data Analysis
Paperback. Series: Springer Series in Statistics. Num Pages: 207 pages, 49 black & white illustrations, 10 colour illustrations, biography. BIC Classification: PBT; UFM. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 11. Weight in Grams: 326.
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.
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
Show LessProduct Details
Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
207
Condition
New
Series
Springer Series in Statistics
Number of Pages
193
Place of Publication
Cham, Switzerland
ISBN
9783319368429
SKU
V9783319368429
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Muller, Peter; Quintana, Fernando Andres; Jara, Alejandro; Hanson, Tim
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 Andrés Quintana is Professor in the Department of Statistics at Pontificia Universidad Catolica de Chile with interests ... 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, February, ... Read more