A First Course in Bayesian Statistical Methods


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Description

  1. A self-contained introduction to probability, exchangeability and Bayes' rule provides a theoretical understanding of the applied material.

  2. Numerous examples with R-code that can be run "as-is" allow the reader to perform the data analyses themselves.

  3. 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

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