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A First Course in Bayesian Statistical Methods
Overview
-
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 computational methods.
This item is Non-Returnable
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Details
- ISBN-13: 9781441928283
- ISBN-10: 1441928286
- Publisher: Springer
- Publish Date: November 2010
- Dimensions: 9.21 x 6.14 x 0.6 inches
- Shipping Weight: 0.88 pounds
- Page Count: 271
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