Bayesian Nonparametric Data Analysis

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software
Cover of the book Bayesian Nonparametric Data Analysis by Peter Müller, Alejandro Jara, Tim Hanson, Fernando Andres Quintana, Springer International Publishing
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Author: Peter Müller, Alejandro Jara, Tim Hanson, Fernando Andres Quintana ISBN: 9783319189680
Publisher: Springer International Publishing Publication: June 17, 2015
Imprint: Springer Language: English
Author: Peter Müller, Alejandro Jara, Tim Hanson, Fernando Andres Quintana
ISBN: 9783319189680
Publisher: Springer International Publishing
Publication: June 17, 2015
Imprint: Springer
Language: English

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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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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