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A First Course in Bayesian Statistical Methods
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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 motivat ...more
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 motivat ...more
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Hardcover, 270 pages
Published
June 1st 2009
by Springer
(first published 2009)
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Text book on integrating Bayes rule into general statistics. Basically focusing on Bayes rule for updating incomplete information and seeing how to use it with standard concepts of statistics like the Poisson, normal, other distributions, regression, box plots and the whole canon of undergrad stats.
I'm still searching for a readable Baysian statistics reference. I bought the digital version thinking that I would be able to use it as a reference, but it appears that it is not my ideal reference book. It is difficult to read and equally difficult to look things up in this book.
Great, introduction to Bayesian analysis and R.
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