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

Peter D. Hoff




[PDF.rp77] A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)

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 | #1000730 in Books |  Springer |  2010-11-19 | Original language:English | PDF # 1 |  9.25 x.64 x6.10l,.88 | File type: PDF | 272 pages

 | A First Course in Bayesian Statistical Methods

||26 of 27 people found the following review helpful.| Good hands-on introduction|By Grue|This is an appropriate practical introduction to Bayesian methods for someone who has taken both a college-level probability and statistics course. The multidimensional examples may require a bit of linear algebra. It doesn't include much comparison with frequentist techniques, so some familiarity there would help the reader put the ideas| ||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 easily download any file type for your gadget.A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)   |  Peter D. Hoff.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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