Fundamentals of Bayesian Inference. Fundamentals of Bayesian Data Analysis. Advanced Computation. Regression Models. Nonlinear and Nonparametric Models. Appendices.
Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari, Doanld B. Rubin
"The second edition was reviewed in JASA by Maiti (2004) … we now
stand 10 years later with an even more impressive textbook that
truly stands for what Bayesian data analysis should be. … this
being a third edition begets the question of what is new when
compared with the second edition? Quite a lot … this is truly the
reference book for a graduate course on Bayesian statistics and not
only Bayesian data analysis."
—Christian P. Robert, Journal of the American Statistical
Association, September 2014, Vol. 109Praise for the Second
Edition:… it is simply the best all-around modern book focused on
data analysis currently available. … There is enough important
additional material here that those with the first edition should
seriously consider updating to the new version. … when students or
colleagues ask me which book they need to start with in order to
take them as far as possible down the road toward analyzing their
own data, Gelman et al. has been my answer since 1995. The second
edition makes this an even more robust choice.
—Lawrence Joseph, Montreal General Hospital and McGill University,
Statistics in Medicine, Vol. 23, 2004I am thoroughly excited to
have this book in hand to supplement course material and to offer
research collaborators and clients at our consulting lab more
sophisticated methods to solve their research problems.
—John Grego, University of South Carolina, USA… easily the most
comprehensive, scholarly, and thoughtful book on the subject, and I
think will do much to promote the use of Bayesian methods
—David Blackwell, University of California, Berkeley, USA
"The second edition was reviewed in JASA by Maiti (2004) … we now
stand 10 years later with an even more impressive textbook that
truly stands for what Bayesian data analysis should be. … this
being a third edition begets the question of what is new when
compared with the second edition? Quite a lot … this is truly the
reference book for a graduate course on Bayesian statistics and not
only Bayesian data analysis."
—Christian P. Robert, Journal of the American Statistical
Association, September 2014, Vol. 109Praise for the Second
Edition
… it is simply the best all-around modern book focused on data
analysis currently available. … There is enough important
additional material here that those with the first edition should
seriously consider updating to the new version. … when students or
colleagues ask me which book they need to start with in order to
take them as far as possible down the road toward analyzing their
own data, Gelman et al. has been my answer since 1995. The second
edition makes this an even more robust choice.
—Lawrence Joseph, Montreal General Hospital and McGill University,
Statistics in Medicine, Vol. 23, 2004I am thoroughly excited to
have this book in hand to supplement course material and to offer
research collaborators and clients at our consulting lab more
sophisticated methods to solve their research problems.
—John Grego, University of South Carolina, USA… easily the most
comprehensive, scholarly, and thoughtful book on the subject, and I
think will do much to promote the use of Bayesian methods
—David Blackwell, University of California, Berkeley, USA
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