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: 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

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