By Ming-Hui Chen,Peter Müller,Dongchu Sun,Keying Ye,Dipak Dey

ISBN-10: 1441969438

ISBN-13: 9781441969439

ISBN-10: 1489992014

ISBN-13: 9781489992017

learn in Bayesian research and statistical selection concept is quickly increasing and diversifying, making it an increasing number of tough for any unmarried researcher to stick brand new on all present examine frontiers. This e-book presents a evaluate of present examine demanding situations and possibilities. whereas the booklet cannot exhaustively hide all present learn parts, it does comprise a few exemplary dialogue of so much examine frontiers. themes comprise target Bayesian inference, shrinkage estimation and different selection dependent estimation, version choice and trying out, nonparametric Bayes, the interface of Bayesian and frequentist inference, facts mining and computer studying, tools for specific and spatio-temporal info research and posterior simulation equipment. numerous significant program components are coated: laptop versions, Bayesian scientific trial layout, epidemiology, phylogenetics, bioinformatics, weather modeling and functions in political technological know-how, finance and advertising. As a assessment of present examine in Bayesian research the ebook offers a stability among concept and purposes. the inability of a transparent demarcation among theoretical and utilized study is a mirrored image of the hugely interdisciplinary and sometimes utilized nature of analysis in Bayesian records. The ebook is meant as an replace for researchers in Bayesian information, together with non-statisticians who utilize Bayesian inference to deal with noticeable study questions in different fields. it should even be worthy for graduate scholars and learn students in statistics or biostatistics who desire to acquaint themselves with present examine frontiers.

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Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger by Ming-Hui Chen,Peter Müller,Dongchu Sun,Keying Ye,Dipak Dey


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