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Springer Practical Nonparametric and Semiparametric Bayesian Statistics: 133 (Lecture Notes in Statistics, 133)

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Description

A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
28 May 1998
Listed Since
12 January 2007

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