[PDF.36fm] A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
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A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
[PDF.pt22] A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
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| #602648 in eBooks | 2009-06-02 | 2009-06-02 | File type: PDF||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
A self-contained introduction to probability, exchangeability and Bayes’ rule provides a theoretical understanding of the applied material.
Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.
The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these...
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. Which are the reasons I like to read books. Great story by a great author.