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Data Analysis: A Bayesian Tutorial Devinderjit Sivia, John Skilling
Publisher: Oxford University Press, USA

(If instead you'd prefer something a little more tutorial, I can recommend the excellent recent post from my colleague Indeed we are free to do 'exploratory data analysis' using (even) not-at-all-Bayesian techniques to help suggest new hypotheses. Silva, John Skilling Initially Published: 2006. One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. Title: Bayesian Data Analysis: A Tutorial Authors: D.S. ϼ�2011年刊行，Academic Press, Amsterdam, xviii+653 pp., ISBN:9780123814852 [hbk] → 版元ページ｜著者サイト）. There will be a four-day introductory course in doing Bayesian data analysis, July 10-13 (2013), at the University of St. For a shorter introduction try Sivia' book: Data analysis - A Bayesian tutorial. [新]『Doing Bayesian Data Analysis: A Tutorial Introduction with R and BUGS』. Bernardo and Smith's 1994 book Bayesian Theory is perhaps most comprehensive, but quite mathematical. I should perhaps follow the guide of blogging-hero Paul Krugman and explicitly label posts like this as “wonkish”. Summary: This book was designed for undergraduates in science and engineering. The course is offered through the Summer School in Empirical Research Methods.