10 Markov Chain Monte Carlo
Sourish Das
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_05.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_07.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_08.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_09.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_10.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_13.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_17.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_21.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_24.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_28.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_32.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_36.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_40.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_41.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_45.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_48.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_51.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_54.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_57.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_60.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_63.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_66.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_70.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_74.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_78.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_79.jpg)
![](http://statp06.epgpbooks.inflibnet.ac.in/wp-content/uploads/sites/133/2019/01/1522660463Bayes_M10_Page_80.jpg)
You can view video on Markov Chain Monte Carlo | ![]() |
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. andGeorge 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.