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Practical Nonparametric and Semiparametric Bayesian Statistics

8 View(s), published at 2012-12-06, written by Dipak D. Dey, Peter MüIler, Debajyoti Sinha, published by Springer Science & Business Media
Practical Nonparametric and Semiparametric Bayesian Statistics

Practical nonparametric and semiparametric bayesian statistics by Dipak D. Dey, Peter MüIler, Debajyoti Sinha 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 discus.... Published date on: 2012-12-06 with total page: 392 pages. Publisher of Practical Nonparametric and Semiparametric Bayesian Statistics is Springer Science & Business Media.

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.

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