Bayesian Nonparametric Data Analysis

Language: English

Published by Springer, Springer Okt 2016, 2016

3319368427 / 9783319368429

Series: Book 137 of 160 - Springer Series in Statistics

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch.

Seller Inventory # 9783319368429

Title
Bayesian Nonparametric Data Analysis
Author
Peter Müller
Publisher
Springer, Springer Okt 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319368427
ISBN 13
9783319368429
Item weight
324 grams
Dimensions
235x155x12 mm
Series
Book 137 of 160: Springer Series in Statistics

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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