{"id":442,"date":"2019-01-01T12:30:54","date_gmt":"2019-01-01T12:30:54","guid":{"rendered":"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/?post_type=chapter&#038;p=442"},"modified":"2019-01-02T09:39:21","modified_gmt":"2019-01-02T09:39:21","slug":"more-on-mcmc","status":"publish","type":"chapter","link":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/chapter\/more-on-mcmc\/","title":{"rendered":"More on MCMC"},"content":{"raw":"<img class=\"aligncenter size-full wp-image-444\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_005.jpg\" alt=\"\" width=\"1511\" height=\"601\" \/> <img class=\"aligncenter size-full wp-image-445\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_009.jpg\" alt=\"\" width=\"1512\" height=\"1084\" \/> <img class=\"aligncenter size-full wp-image-446\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_011.jpg\" alt=\"\" width=\"1512\" height=\"1088\" \/> <img class=\"aligncenter size-full wp-image-447\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_014.jpg\" alt=\"\" width=\"1511\" height=\"805\" \/> <img class=\"aligncenter size-full wp-image-448\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_021.jpg\" alt=\"\" width=\"1510\" height=\"1092\" \/> <img class=\"aligncenter size-full wp-image-449\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_028.jpg\" alt=\"\" width=\"1511\" height=\"987\" \/> <img class=\"aligncenter size-full wp-image-450\" 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src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_045.jpg\" alt=\"\" width=\"1509\" height=\"889\" \/> <img class=\"aligncenter size-full wp-image-455\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_049.jpg\" alt=\"\" width=\"1509\" height=\"525\" \/> <img class=\"aligncenter size-full wp-image-456\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_055.jpg\" alt=\"\" width=\"1512\" height=\"1092\" \/> <img class=\"aligncenter size-full wp-image-457\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_058.jpg\" alt=\"\" width=\"1509\" height=\"431\" \/> <img class=\"aligncenter size-full wp-image-458\" 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src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_116.jpg\" alt=\"\" width=\"1511\" height=\"665\" \/> <img class=\"aligncenter size-full wp-image-475\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_117.jpg\" alt=\"\" width=\"1511\" height=\"661\" \/> <img class=\"aligncenter size-full wp-image-476\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_118.jpg\" alt=\"\" width=\"1511\" height=\"453\" \/> <img class=\"aligncenter size-full wp-image-477\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_121.jpg\" alt=\"\" width=\"1509\" height=\"891\" \/> <img class=\"aligncenter size-full wp-image-478\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_124.jpg\" alt=\"\" width=\"1509\" height=\"897\" \/> <img class=\"aligncenter size-full wp-image-479\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_125.jpg\" alt=\"\" width=\"1511\" height=\"875\" \/> <img class=\"aligncenter size-full wp-image-480\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_128.jpg\" alt=\"\" width=\"1510\" height=\"1100\" \/> <img class=\"aligncenter size-full wp-image-481\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_130.jpg\" alt=\"\" width=\"1511\" height=\"621\" \/> <img class=\"aligncenter size-full wp-image-482\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_134.jpg\" alt=\"\" width=\"1510\" height=\"1074\" \/> <img class=\"aligncenter size-full wp-image-483\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_135.jpg\" alt=\"\" width=\"1511\" height=\"663\" \/> <img class=\"aligncenter size-full wp-image-484\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_136.jpg\" alt=\"\" width=\"1511\" height=\"659\" \/> <img class=\"aligncenter size-full wp-image-485\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_143.jpg\" alt=\"\" width=\"1511\" height=\"895\" \/> <img class=\"aligncenter size-full wp-image-486\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_147.jpg\" alt=\"\" width=\"1511\" height=\"893\" \/> <img class=\"aligncenter size-full wp-image-487\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_152.jpg\" alt=\"\" width=\"1510\" height=\"1088\" \/>\r\n\r\n&nbsp;\r\n\r\n<strong>Reference<\/strong>\r\n<ol>\r\n \t<li style=\"text-align: justify\">Beayesian Data Analysis\u201d, 3rd Edition, By Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari and Donald B. Rubin.<\/li>\r\n \t<li style=\"text-align: justify\">Bayesian Statistics: An Introduction\u201d, By Peter Lee, 4th Edition, ISBN: 978-1-118-33257-3.<\/li>\r\n \t<li style=\"text-align: justify\">Monte Carlo Statistical Methods, By Robert, Christian P. andGeorge Casella. 2004. , 2nd edition. Springer.<\/li>\r\n \t<li style=\"text-align: justify\">MCMCpack: Markov Chain Monte Carlo in R.\u201d, (2011), Andrew D. Martin, Kevin M. Quinn, and Jong HeePark,Journal of Statistical Software. 42(9): 1-21.<\/li>\r\n \t<li style=\"text-align: justify\">Applied Bayesian Modeling\u201d By Peter Congdon, 2nd Edition,Wiley,. ISBN: 978-1-119-95151-3<\/li>\r\n \t<li style=\"text-align: justify\">Bayes Linear Statistics, Theory Methods\u201d. By Goldstein,Michael; Woo, David (2007). Wiley. ISBN978-0-470-01562-9.<\/li>\r\n \t<li style=\"text-align: justify\">Hosmer, D.W. and Lemeshow, S. (1989) Applied LogisticRegression. New York: Wiley.<\/li>\r\n \t<li style=\"text-align: justify\">Venables, W. N. and Ripley, B. D. (2002) Modern AppliedStatistics with S. Fourth edition. Springer.<\/li>\r\n \t<li style=\"text-align: justify\">Albert, J. H. and S. Chib. 1993. \\Bayesian Analysis of Binaryand Polychotomous Response Data.\u201dJ. Amer. Statist. Assoc.88, 669-679.<\/li>\r\n \t<li style=\"text-align: justify\">Albert, J. H. and S. Chib. 1995. \\Bayesian Residual Analysisfor Binary Response Regression Models.\u201d Biometrika. 82,747-759.<\/li>\r\n \t<li style=\"text-align: justify\">Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park.2011. \u201cMCMCpack: Markov Chain Monte Carlo in R.\u201d,Journal of Statistical Software. 42(9): 1-21.http:\/\/www.jstatsoft.org\/v42\/i09\/I<\/li>\r\n \t<li style=\"text-align: justify\">Siddhartha Chib. 1995. \\Marginal Likelihood from the GibbsOutput.\u201dJournal of the American Statistical Association.90:1313-1321.<\/li>\r\n<\/ol>","rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-444\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_005.jpg\" alt=\"\" width=\"1511\" height=\"601\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_005.jpg 1511w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660610Bayes_M13_Page_005-300x119.jpg 300w, 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\/><\/p>\n<p>&nbsp;<\/p>\n<p><strong>Reference<\/strong><\/p>\n<ol>\n<li style=\"text-align: justify\">Beayesian Data Analysis\u201d, 3rd Edition, By Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari and Donald B. Rubin.<\/li>\n<li style=\"text-align: justify\">Bayesian Statistics: An Introduction\u201d, By Peter Lee, 4th Edition, ISBN: 978-1-118-33257-3.<\/li>\n<li style=\"text-align: justify\">Monte Carlo Statistical Methods, By Robert, Christian P. andGeorge Casella. 2004. , 2nd edition. Springer.<\/li>\n<li style=\"text-align: justify\">MCMCpack: Markov Chain Monte Carlo in R.\u201d, (2011), Andrew D. Martin, Kevin M. Quinn, and Jong HeePark,Journal of Statistical Software. 42(9): 1-21.<\/li>\n<li style=\"text-align: justify\">Applied Bayesian Modeling\u201d By Peter Congdon, 2nd Edition,Wiley,. ISBN: 978-1-119-95151-3<\/li>\n<li style=\"text-align: justify\">Bayes Linear Statistics, Theory Methods\u201d. By Goldstein,Michael; Woo, David (2007). Wiley. ISBN978-0-470-01562-9.<\/li>\n<li style=\"text-align: justify\">Hosmer, D.W. and Lemeshow, S. (1989) Applied LogisticRegression. New York: Wiley.<\/li>\n<li style=\"text-align: justify\">Venables, W. N. and Ripley, B. D. (2002) Modern AppliedStatistics with S. Fourth edition. Springer.<\/li>\n<li style=\"text-align: justify\">Albert, J. H. and S. Chib. 1993. \\Bayesian Analysis of Binaryand Polychotomous Response Data.\u201dJ. Amer. Statist. Assoc.88, 669-679.<\/li>\n<li style=\"text-align: justify\">Albert, J. H. and S. Chib. 1995. \\Bayesian Residual Analysisfor Binary Response Regression Models.\u201d Biometrika. 82,747-759.<\/li>\n<li style=\"text-align: justify\">Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park.2011. \u201cMCMCpack: Markov Chain Monte Carlo in R.\u201d,Journal of Statistical Software. 42(9): 1-21.http:\/\/www.jstatsoft.org\/v42\/i09\/I<\/li>\n<li style=\"text-align: justify\">Siddhartha Chib. 1995. \\Marginal Likelihood from the GibbsOutput.\u201dJournal of the American Statistical Association.90:1313-1321.<\/li>\n<\/ol>\n","protected":false},"author":4,"menu_order":13,"template":"","meta":{"pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":["dr-sourish-das"],"pb_section_license":""},"chapter-type":[],"contributor":[58],"license":[],"class_list":["post-442","chapter","type-chapter","status-publish","hentry","contributor-dr-sourish-das"],"part":3,"_links":{"self":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters\/442","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/users\/4"}],"version-history":[{"count":3,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters\/442\/revisions"}],"predecessor-version":[{"id":489,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters\/442\/revisions\/489"}],"part":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/parts\/3"}],"metadata":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters\/442\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/media?parent=442"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapter-type?post=442"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/contributor?post=442"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/license?post=442"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}