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

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Synopsis

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.

Copyright:
2009

Book Details

Book Quality:
Excellent
Book Size:
282 Pages
ISBN-13:
9780387922997
Publisher:
Springer
Date of Addition:
Copyrighted By:
Springer Science+Business Media, LLC
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Social Studies, Mathematics and Statistics, Sociology
Submitted By:
170
Proofread By:
170
Usage Restrictions:
This is a copyrighted book.

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