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Bayesian Nonparametric Data Analysis

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 a...

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Main Authors: Müller, Peter. (Author, http://id.loc.gov/vocabulary/relators/aut), Quintana, Fernando Andres. (http://id.loc.gov/vocabulary/relators/aut), Jara, Alejandro. (http://id.loc.gov/vocabulary/relators/aut), Hanson, Tim. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Springer Series in Statistics,
Subjects:
Statistics .
Statistical Theory and Methods.
Statistics and Computing/Statistics Programs.
Statistics for Life Sciences, Medicine, Health Sciences.
Online Access:https://doi.org/10.1007/978-3-319-18968-0

Internet

https://doi.org/10.1007/978-3-319-18968-0

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