{"id":419,"date":"2019-01-01T12:28:35","date_gmt":"2019-01-01T12:28:35","guid":{"rendered":"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/?post_type=chapter&#038;p=419"},"modified":"2019-01-01T12:28:40","modified_gmt":"2019-01-01T12:28:40","slug":"bayesian-regression-analysis-part-2","status":"publish","type":"chapter","link":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/chapter\/bayesian-regression-analysis-part-2\/","title":{"rendered":"Bayesian Regression Analysis &#8211; Part 2"},"content":{"raw":"<img class=\"aligncenter size-full wp-image-420\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_05.jpg\" alt=\"\" width=\"1510\" height=\"1082\" \/> <img class=\"aligncenter size-full wp-image-421\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_07.jpg\" alt=\"\" width=\"1509\" height=\"737\" \/> <img class=\"aligncenter size-full wp-image-422\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_10.jpg\" alt=\"\" width=\"1511\" height=\"893\" \/> <img class=\"aligncenter size-full wp-image-423\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_14.jpg\" alt=\"\" width=\"1509\" height=\"927\" \/> <img class=\"aligncenter size-full wp-image-424\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_15.jpg\" alt=\"\" width=\"1509\" height=\"409\" \/> <img class=\"aligncenter size-full wp-image-425\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_16.jpg\" alt=\"\" width=\"1511\" height=\"783\" \/> <img class=\"aligncenter size-full wp-image-426\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_18.jpg\" alt=\"\" width=\"1509\" height=\"485\" \/> <img class=\"aligncenter size-full wp-image-427\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_22.jpg\" alt=\"\" width=\"1512\" height=\"1094\" \/> <img class=\"aligncenter size-full wp-image-428\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_25.jpg\" alt=\"\" width=\"1511\" height=\"717\" \/> <img class=\"aligncenter size-full wp-image-429\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_28.jpg\" alt=\"\" width=\"1510\" height=\"1005\" \/> <img class=\"aligncenter size-full wp-image-430\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_31.jpg\" alt=\"\" width=\"1512\" height=\"1021\" \/> <img class=\"aligncenter size-full wp-image-431\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_33.jpg\" alt=\"\" width=\"1510\" height=\"1070\" \/> <img class=\"aligncenter size-full wp-image-432\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_34.jpg\" alt=\"\" width=\"1510\" height=\"901\" \/> <img class=\"aligncenter size-full wp-image-433\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_38.jpg\" alt=\"\" width=\"1512\" height=\"903\" \/> <img class=\"aligncenter size-full wp-image-434\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_41.jpg\" alt=\"\" width=\"1510\" height=\"937\" \/> <img class=\"aligncenter size-full wp-image-435\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_45.jpg\" alt=\"\" width=\"1512\" height=\"1089\" \/> <img class=\"aligncenter size-full wp-image-436\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_47.jpg\" alt=\"\" width=\"1507\" height=\"913\" \/> <img class=\"aligncenter size-full wp-image-437\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_48.jpg\" alt=\"\" width=\"1505\" height=\"633\" \/> <img class=\"aligncenter size-full wp-image-438\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_49.jpg\" alt=\"\" width=\"1511\" height=\"631\" \/> <img class=\"aligncenter size-full wp-image-439\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_50.jpg\" alt=\"\" width=\"1507\" height=\"591\" \/> <img class=\"aligncenter size-full wp-image-440\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_51.jpg\" alt=\"\" width=\"1511\" height=\"587\" \/>\r\n\r\n&nbsp;\r\n<p style=\"text-align: justify\"><strong>Reference<\/strong><\/p>\r\n\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.\"J. 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.\" Biometrika. 82,747-759.<\/li>\r\n \t<li style=\"text-align: justify\">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<\/li>\r\n \t<li style=\"text-align: justify\">Siddhartha Chib. 1995. \\Marginal Likelihood from the GibbsOutput.\"Journal 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-420\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_05.jpg\" alt=\"\" width=\"1510\" height=\"1082\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_05.jpg 1510w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_05-300x215.jpg 300w, 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src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_50.jpg\" alt=\"\" width=\"1507\" height=\"591\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_50.jpg 1507w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_50-300x118.jpg 300w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_50-768x301.jpg 768w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_50-1024x402.jpg 1024w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_50-65x25.jpg 65w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_50-225x88.jpg 225w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_50-350x137.jpg 350w\" sizes=\"auto, (max-width: 1507px) 100vw, 1507px\" \/> <img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-440\" src=\"http:\/\/statp06.epgpbooks.inflibnet.ac.in\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_51.jpg\" alt=\"\" width=\"1511\" height=\"587\" srcset=\"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_51.jpg 1511w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_51-300x117.jpg 300w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_51-768x298.jpg 768w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_51-1024x398.jpg 1024w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_51-65x25.jpg 65w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_51-225x87.jpg 225w, https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-content\/uploads\/sites\/133\/2019\/01\/1522660552Bayes_M12_Page_51-350x136.jpg 350w\" sizes=\"auto, (max-width: 1511px) 100vw, 1511px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><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.&#8221;J. 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.&#8221; Biometrika. 82,747-759.<\/li>\n<li style=\"text-align: justify\">Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park.2011. &#8220;MCMCpack: Markov Chain Monte Carlo in R.&#8221;,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.&#8221;Journal of the American Statistical Association.90:1313-1321.<\/li>\n<\/ol>\n","protected":false},"author":4,"menu_order":12,"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-419","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\/419","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":1,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters\/419\/revisions"}],"predecessor-version":[{"id":441,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapters\/419\/revisions\/441"}],"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\/419\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/media?parent=419"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/pressbooks\/v2\/chapter-type?post=419"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/contributor?post=419"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/ebooks.inflibnet.ac.in\/statp06\/wp-json\/wp\/v2\/license?post=419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}