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Bayesian Nonparametric Data Analysis (Springer Series in Statistics)

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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 bookâ€™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.
Country USA
Brand Springer
Manufacturer Springer
Binding Hardcover
ItemPartNumber 49 black & white illustrations, 10 colou
ReleaseDate 2015-06-26
UnitCount 1
EANs 9783319189673

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