Description
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A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material.
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Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.
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The development of Monte Carlo and Markov chain Monte Carlo methods in the context of data analysis examples provides motivation for these computational methods.
Author: Peter D. Hoff
Publisher: Springer
Published: 06/15/2009
Pages: 271
Binding Type: Hardcover
Weight: 1.27lbs
Size: 9.21h x 6.14w x 0.69d
ISBN13: 9780387922997
ISBN10: 0387922997
BISAC Categories:
- Mathematics | Probability & Statistics | Bayesian Analysis
This title is not returnable