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Bayesian Nonparametric Data Analysis

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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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Detail Information

Series Title

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Call Number

519.5

Publisher

Cham : ., 2015

Collation

XIV, 193

Language

English

ISBN/ISSN

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Classification

519.5

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Statistics

Specific Detail Info

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Statement of Responsibility

Peter Muller et.al

Other Information

Cataloger

ratna

Source

https://link.springer.com/10.1007/978-3-319-18968-0

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