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A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)

Peter D. Hoff




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 | #647779 in Books |  2009-07-14 | Original language:English | PDF # 1 |  9.21 x.69 x6.14l,1.27 | File type: PDF | 271 pages

||14 of 14 people found the following review helpful.| Do not get the kindle version|By Ryan Brady|The text is fine, although as another reviewer mentioned - the homework is frustrating. None of it is the sort of problem where you can go back and follow along with work done in the chapter. Not at all good for someone who prefers to learn by first mimicking, and then exploring.

No, the BIG problem is that many of the fo| ||From the reviews:|This is an excellent book for its intended audience: statisticians who wish to learn Bayesian methods. Although designed for a statistics audience, it would also be a good book for econometricians who have been trained in frequentist methods

  1. A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material.

  2. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.

  3. The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.


    You can specify the type of files you want, for your gadget.A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)   |  Peter D. Hoff. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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