A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)
A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)

How to Read A First Course in Bayesian Statistical Methods (Springer Texts in Statistics) DOC

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.

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  • Released: September 1, 2018
  • Author: Peter D. Hoff
  • Rating: 3,9
  • Publisher: Ebook Digital Agency
  • Total Page: 289 pages
  • File Size: 6894 KB
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