Bayesian Nonparametric Data Analysis
2015 ed.
Book Details
Format
Hardback or Cased Book
Book Series
Springer Series in Statistics
ISBN-10
3319189670
ISBN-13
9783319189673
Edition
2015 ed.
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
CH
Country of Publication
GB
Publication Date
Jun 26th, 2015
Print length
193 Pages
Weight
464 grams
Dimensions
24.60 x 16.30 x 1.70 cms
Ksh 20,500.00
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This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. 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 for many examples is included in online software pages.
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