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: 11/19/2010
Pages: 271
Binding Type: Paperback
Weight: 0.88lbs
Size: 9.21h x 6.14w x 0.60d
ISBN13: 9781441928283
ISBN10: 1441928286
BISAC Categories:
- Mathematics | Probability & Statistics | Bayesian Analysis
- Social Science | Methodology
- Business & Economics | Econometrics
This title is not returnable