14 Bayesian Hypothesis Testing and Bayes Factors
Sourish Das
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_05.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_09.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_12.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_18.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_21.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_24.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_28.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_35.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_39.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_42.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_46.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_51.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_55.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_56.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660691Bayes_M14_Page_59.jpg)
Reference
- Beayesian Data Analysis”, 3rd Edition, By Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari and Donald B. Rubin.
- Bayesian Statistics: An Introduction”, By Peter Lee, 4th Edition, ISBN: 978-1-118-33257-3.
- Monte Carlo Statistical Methods, By Robert, Christian P. and George Casella. 2004. , 2nd edition. Springer.
- MCMCpack: Markov Chain Monte Carlo in R.”, (2011), Andrew D. Martin, Kevin M. Quinn, and Jong HeePark,Journal of Statistical Software. 42(9): 1-21.
- Applied Bayesian Modeling” By Peter Congdon, 2nd Edition,Wiley,. ISBN: 978-1-119-95151-3
- Bayes Linear Statistics, Theory Methods”. By Goldstein,Michael; Woo, David (2007). Wiley. ISBN978-0-470-01562-9.
- Hosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression. New York: Wiley.
- Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
- Albert, J. H. and S. Chib. 1993. \Bayesian Analysis of Binaryand Polychotomous Response Data.”J. Amer. Statist. Assoc.88, 669-679.
- Albert, J. H. and S. Chib. 1995. \Bayesian Residual Analysisfor Binary Response Regression Models.” Biometrika. 82,747-759.
- Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park.2011. “MCMCpack: Markov Chain Monte Carlo in R.”,Journal of Statistical Software. 42(9): 1-21. http://www.jstatsoft.org/v42/i09/I
- Siddhartha Chib. 1995. \ Marginal Likelihood from the Gibbs Output.” Journal of the American Statistical Association.90:1313-1321.