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.
Buy this ebook and get 1 more FREE!
Language English ● Format PDF ● ISBN 9781461217329 ● Editor Dipak D. Dey & Peter MuIler ● Publisher Springer New York ● Published 2012 ● Downloadable 3 times ● Currency EUR ● ID 4648614 ● Copy protection Adobe DRM
Requires a DRM capable ebook reader