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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语言 英语 ● 格式 PDF ● ISBN 9781461217329 ● 编辑 Dipak D. Dey & Peter MuIler ● 出版者 Springer New York ● 发布时间 2012 ● 下载 3 时 ● 货币 EUR ● ID 4648614 ● 复制保护 Adobe DRM
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