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Bayesian Nonparametric Data Analysis (Springer Series in Statistics)

Bayesian Nonparametric Data Analysis (Springer Series in Statistics)

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Product Description

Bayesian Nonparametric Data Analysis (Springer Series in Statistics)

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.

Technical Specifications

Country
USA
Brand
Springer
Manufacturer
Springer
Binding
Hardcover
PartNumber
49 black & white illustrations, 10 colou
Height
9.21
Length
6.14
Weight
1.21915630886
Width
0.5
ReleaseDate
2015-06-26T00:00:01Z
NumberOfItems
1

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