{"id":10827,"date":"2025-02-13T05:35:18","date_gmt":"2025-02-13T05:35:18","guid":{"rendered":"https:\/\/mathsuop.orizel.com\/?page_id=10827"},"modified":"2025-02-18T14:12:11","modified_gmt":"2025-02-18T14:12:11","slug":"em-525-bayesian-statistics","status":"publish","type":"page","link":"https:\/\/eng.pdn.ac.lk\/maths\/em-525-bayesian-statistics\/","title":{"rendered":"EM525: Bayesian Statistics"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"10827\" class=\"elementor elementor-10827\">\n\t\t\t\t<div class=\"elementor-element elementor-element-084a54d e-flex e-con-boxed e-con e-parent\" data-id=\"084a54d\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-4f13400 e-con-full e-flex e-con e-child\" data-id=\"4f13400\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-de1f885 elementor-widget elementor-widget-heading\" data-id=\"de1f885\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Basic Details:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f8c48b7 elementor-widget elementor-widget-text-editor\" data-id=\"f8c48b7\" data-element_type=\"widget\" data-settings=\"{&quot;thim_ekit_motion_fx_mouse&quot;:&quot;yes&quot;,&quot;thim_ekit_motion_fx_tilt_effect&quot;:&quot;yes&quot;,&quot;thim_ekit_motion_fx_tilt_speed&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:1,&quot;sizes&quot;:[]}}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li><strong>Course Code<\/strong>: EM 525<\/li><li><strong>Credits<\/strong>: 3<\/li><li><strong>Pre-requisites<\/strong>: EM212, EM213<\/li><li><strong>Compulsory\/Optional<\/strong>: Optional<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b88759f e-con-full e-flex e-con e-child\" data-id=\"b88759f\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-86cea8d elementor-widget elementor-widget-heading\" data-id=\"86cea8d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Aim :<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1cf13df elementor-widget elementor-widget-text-editor\" data-id=\"1cf13df\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"p1\">To introduce basic concepts of Bayesian analysis, including how to conduct posterior and predictive inference; learn how to use common Bayesian models in applications; learn common ways of prior elicitation; utilize R for Bayesian computation, visualization and analysis of real-world data.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5ff70c7 e-flex e-con-boxed e-con e-parent\" data-id=\"5ff70c7\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d8f921a elementor-widget elementor-widget-heading\" data-id=\"d8f921a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Intended Learning Outcomes:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-723b881 elementor-widget elementor-widget-text-editor\" data-id=\"723b881\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p class=\"p1\">On successful completion of the course, the students should be able to;<\/p><ul><li class=\"p1\">Demonstrate a solid understanding of the basic Bayesian approach to inference, based on expressing all uncertainty in terms of conditional probability distributions.<\/li><li class=\"p1\">Interpret Bayesian models in applied problems, including hierarchical model specification and computational techniques.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cc9874c elementor-widget elementor-widget-spacer\" data-id=\"cc9874c\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-057446a e-flex e-con-boxed e-con e-parent\" data-id=\"057446a\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-20350e0 elementor-widget elementor-widget-heading\" data-id=\"20350e0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Couse Content:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8ac4d11 elementor-widget elementor-widget-thim-accordion\" data-id=\"8ac4d11\" data-element_type=\"widget\" data-widget_type=\"thim-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"thim-widget-accordion accordion-new-style\"><div id=\"accordion_8ac4d11\" class=\"panel-group\" role=\"tablist\" aria-multiselectable=\"true\">\n\t\t\t<div class=\"panel panel-default\">\n\t\t\t\t<div class=\"panel-heading\" role=\"tab\"\n\t\t\t\t\t id=\"heading_accordion_8ac4d11_0\">\n\t\t\t\t\t<h4 class=\"panel-title\">\n\t\t\t\t\t\t<a role=\"button\" class=\"collapsed\" data-toggle=\"collapse\"\n\t\t\t\t\t\t   data-parent=\"#accordion_8ac4d11\"\n\t\t\t\t\t\t   href=\"#collapse_accordion_8ac4d11_0\" aria-expanded=\"false\"\n\t\t\t\t\t\t   aria-controls=\"collapse_accordion_8ac4d11_0\">\n\t\t\t\t\t\t\tCourse overview\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/h4>\n\t\t\t\t<\/div>\n\t\t\t\t<div id=\"collapse_accordion_8ac4d11_0\"\n\t\t\t\t\t class=\"panel-collapse collapse\"\n\t\t\t\t\t role=\"tabpanel\" aria-labelledby=\"heading_accordion_8ac4d11_0\">\n\t\t\t\t\t<div class=\"panel-body\">\n\t\t\t\t\t\t<p>Introduction to Bayesian Statistics.<\/p>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n\t\t\t<div class=\"panel panel-default\">\n\t\t\t\t<div class=\"panel-heading\" role=\"tab\"\n\t\t\t\t\t id=\"heading_accordion_8ac4d11_1\">\n\t\t\t\t\t<h4 class=\"panel-title\">\n\t\t\t\t\t\t<a role=\"button\" class=\"collapsed\" data-toggle=\"collapse\"\n\t\t\t\t\t\t   data-parent=\"#accordion_8ac4d11\"\n\t\t\t\t\t\t   href=\"#collapse_accordion_8ac4d11_1\" aria-expanded=\"false\"\n\t\t\t\t\t\t   aria-controls=\"collapse_accordion_8ac4d11_1\">\n\t\t\t\t\t\t\tBayesian inference from Binomial and Multinomial data\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/h4>\n\t\t\t\t<\/div>\n\t\t\t\t<div id=\"collapse_accordion_8ac4d11_1\"\n\t\t\t\t\t class=\"panel-collapse collapse\"\n\t\t\t\t\t role=\"tabpanel\" aria-labelledby=\"heading_accordion_8ac4d11_1\">\n\t\t\t\t\t<div class=\"panel-body\">\n\t\t\t\t\t\t<p>Concepts and methods<br \/>\nof Bayesian inference, Bayesian hypothesis testing and model comparison, inference from binomial and multinomial data.<\/p>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n\t\t\t<div class=\"panel panel-default\">\n\t\t\t\t<div class=\"panel-heading\" role=\"tab\"\n\t\t\t\t\t id=\"heading_accordion_8ac4d11_2\">\n\t\t\t\t\t<h4 class=\"panel-title\">\n\t\t\t\t\t\t<a role=\"button\" class=\"collapsed\" data-toggle=\"collapse\"\n\t\t\t\t\t\t   data-parent=\"#accordion_8ac4d11\"\n\t\t\t\t\t\t   href=\"#collapse_accordion_8ac4d11_2\" aria-expanded=\"false\"\n\t\t\t\t\t\t   aria-controls=\"collapse_accordion_8ac4d11_2\">\n\t\t\t\t\t\t\tSingle-parameter Models\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/h4>\n\t\t\t\t<\/div>\n\t\t\t\t<div id=\"collapse_accordion_8ac4d11_2\"\n\t\t\t\t\t class=\"panel-collapse collapse\"\n\t\t\t\t\t role=\"tabpanel\" aria-labelledby=\"heading_accordion_8ac4d11_2\">\n\t\t\t\t\t<div class=\"panel-body\">\n\t\t\t\t\t\t<p>Normal distribution, Poisson distribution, exponential distribution and hypothesis testing.<\/p>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n\t\t\t<div class=\"panel panel-default\">\n\t\t\t\t<div class=\"panel-heading\" role=\"tab\"\n\t\t\t\t\t id=\"heading_accordion_8ac4d11_3\">\n\t\t\t\t\t<h4 class=\"panel-title\">\n\t\t\t\t\t\t<a role=\"button\" class=\"collapsed\" data-toggle=\"collapse\"\n\t\t\t\t\t\t   data-parent=\"#accordion_8ac4d11\"\n\t\t\t\t\t\t   href=\"#collapse_accordion_8ac4d11_3\" aria-expanded=\"false\"\n\t\t\t\t\t\t   aria-controls=\"collapse_accordion_8ac4d11_3\">\n\t\t\t\t\t\t\tMultiple-parameters Models\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/h4>\n\t\t\t\t<\/div>\n\t\t\t\t<div id=\"collapse_accordion_8ac4d11_3\"\n\t\t\t\t\t class=\"panel-collapse collapse\"\n\t\t\t\t\t role=\"tabpanel\" aria-labelledby=\"heading_accordion_8ac4d11_3\">\n\t\t\t\t\t<div class=\"panel-body\">\n\t\t\t\t\t\t<p>Normal and multinomial distribution.<\/p>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n\t\t\t<div class=\"panel panel-default\">\n\t\t\t\t<div class=\"panel-heading\" role=\"tab\"\n\t\t\t\t\t id=\"heading_accordion_8ac4d11_4\">\n\t\t\t\t\t<h4 class=\"panel-title\">\n\t\t\t\t\t\t<a role=\"button\" class=\"collapsed\" data-toggle=\"collapse\"\n\t\t\t\t\t\t   data-parent=\"#accordion_8ac4d11\"\n\t\t\t\t\t\t   href=\"#collapse_accordion_8ac4d11_4\" aria-expanded=\"false\"\n\t\t\t\t\t\t   aria-controls=\"collapse_accordion_8ac4d11_4\">\n\t\t\t\t\t\t\tOverview of approximations of posterior distributions\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/h4>\n\t\t\t\t<\/div>\n\t\t\t\t<div id=\"collapse_accordion_8ac4d11_4\"\n\t\t\t\t\t class=\"panel-collapse collapse\"\n\t\t\t\t\t role=\"tabpanel\" aria-labelledby=\"heading_accordion_8ac4d11_4\">\n\t\t\t\t\t<div class=\"panel-body\">\n\t\t\t\t\t\t<p>Markov chains, Monte Carlo and Markov Chain Monte Carlo (MCMC).<\/p>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t\n\t\t\t<div class=\"panel panel-default\">\n\t\t\t\t<div class=\"panel-heading\" role=\"tab\"\n\t\t\t\t\t id=\"heading_accordion_8ac4d11_5\">\n\t\t\t\t\t<h4 class=\"panel-title\">\n\t\t\t\t\t\t<a role=\"button\" class=\"collapsed\" data-toggle=\"collapse\"\n\t\t\t\t\t\t   data-parent=\"#accordion_8ac4d11\"\n\t\t\t\t\t\t   href=\"#collapse_accordion_8ac4d11_5\" aria-expanded=\"false\"\n\t\t\t\t\t\t   aria-controls=\"collapse_accordion_8ac4d11_5\">\n\t\t\t\t\t\t\tCategorical Data\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/h4>\n\t\t\t\t<\/div>\n\t\t\t\t<div id=\"collapse_accordion_8ac4d11_5\"\n\t\t\t\t\t class=\"panel-collapse collapse\"\n\t\t\t\t\t role=\"tabpanel\" aria-labelledby=\"heading_accordion_8ac4d11_5\">\n\t\t\t\t\t<div class=\"panel-body\">\n\t\t\t\t\t\t<p>Hierarchical models, linear models, variable selection for linear models, hierarchical linear nonlinear models mixed models, generalized linear models and mixture models.<\/p>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\t<\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7133136 e-con-full e-flex e-con e-parent\" data-id=\"7133136\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-78cef1a elementor-widget elementor-widget-heading\" data-id=\"78cef1a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Time Allocation (Hours):<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-97b0fa9 e-grid e-con-full e-con e-child\" data-id=\"97b0fa9\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1640844 elementor-widget elementor-widget-counter\" data-id=\"1640844\" data-element_type=\"widget\" data-widget_type=\"counter.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-counter\">\n\t\t\t<div class=\"elementor-counter-title\">Lectures<\/div>\t\t\t<div class=\"elementor-counter-number-wrapper\">\n\t\t\t\t<span class=\"elementor-counter-number-prefix\"><\/span>\n\t\t\t\t<span class=\"elementor-counter-number\" data-duration=\"1000\" data-to-value=\"36\" data-from-value=\"0\" data-delimiter=\",\">0<\/span>\n\t\t\t\t<span class=\"elementor-counter-number-suffix\"><\/span>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-808daa8 elementor-widget elementor-widget-counter\" data-id=\"808daa8\" data-element_type=\"widget\" data-widget_type=\"counter.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-counter\">\n\t\t\t<div class=\"elementor-counter-title\">Assignments<\/div>\t\t\t<div class=\"elementor-counter-number-wrapper\">\n\t\t\t\t<span class=\"elementor-counter-number-prefix\"><\/span>\n\t\t\t\t<span class=\"elementor-counter-number\" data-duration=\"1000\" data-to-value=\"18\" data-from-value=\"0\" data-delimiter=\",\">0<\/span>\n\t\t\t\t<span class=\"elementor-counter-number-suffix\"><\/span>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e84dcbb e-con-full e-flex e-con e-parent\" data-id=\"e84dcbb\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-184f21a elementor-widget elementor-widget-spacer\" data-id=\"184f21a\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bd7ccbd elementor-widget elementor-widget-heading\" data-id=\"bd7ccbd\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Recommended Texts:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-36dd98c elementor-widget elementor-widget-text-editor\" data-id=\"36dd98c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li class=\"p1\">J. Gill, &#8220;Bayesian Methods, A Social and Behavioral Sciences Approach&#8221;, 2<span class=\"s1\">nd <\/span>edition,(2008), Chapman &amp; Hall.<\/li><li class=\"p1\">J.B. Carlin Gelman, H.S. Stern and D.B. Rubin, &#8220;Bayesian Data Analysis&#8221;, 2<span class=\"s1\">nd<\/span> edition (2004), Chapman &amp; Hall.<\/li><li class=\"p1\">J. K. Doing Kruschke, &#8220;Bayesian Data Analysis&#8221;, 2<span class=\"s1\">nd<\/span>edition, (2015), A Tutorial with R, JAGSand Stan, Academic Press.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e75cae8 elementor-widget elementor-widget-spacer\" data-id=\"e75cae8\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0310ef2 e-flex e-con-boxed e-con e-parent\" data-id=\"0310ef2\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9fb40da elementor-widget elementor-widget-heading\" data-id=\"9fb40da\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Assessment:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-459293f elementor-widget elementor-widget-heading\" data-id=\"459293f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">In - course:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3e261ba elementor-widget elementor-widget-progress\" data-id=\"3e261ba\" data-element_type=\"widget\" data-widget_type=\"progress.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<span class=\"elementor-title\" id=\"elementor-progress-bar-3e261ba\">\n\t\t\t\tTutorials\/Assignments\t\t\t<\/span>\n\t\t\n\t\t<div aria-labelledby=\"elementor-progress-bar-3e261ba\" class=\"elementor-progress-wrapper\" role=\"progressbar\" aria-valuemin=\"0\" aria-valuemax=\"100\" aria-valuenow=\"30\">\n\t\t\t<div class=\"elementor-progress-bar\" data-max=\"30\">\n\t\t\t\t<span class=\"elementor-progress-text\"><\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-progress-percentage\">30%<\/span>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-db115d5 elementor-widget elementor-widget-progress\" data-id=\"db115d5\" data-element_type=\"widget\" data-widget_type=\"progress.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<span class=\"elementor-title\" id=\"elementor-progress-bar-db115d5\">\n\t\t\t\tMid Semester Examination\t\t\t<\/span>\n\t\t\n\t\t<div aria-labelledby=\"elementor-progress-bar-db115d5\" class=\"elementor-progress-wrapper\" role=\"progressbar\" aria-valuemin=\"0\" aria-valuemax=\"100\" aria-valuenow=\"20\">\n\t\t\t<div class=\"elementor-progress-bar\" data-max=\"20\">\n\t\t\t\t<span class=\"elementor-progress-text\"><\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-progress-percentage\">20%<\/span>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-56730bf elementor-widget elementor-widget-heading\" data-id=\"56730bf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">End-semester:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d2e9848 elementor-widget elementor-widget-progress\" data-id=\"d2e9848\" data-element_type=\"widget\" data-widget_type=\"progress.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n\t\t<div class=\"elementor-progress-wrapper\" role=\"progressbar\" aria-valuemin=\"0\" aria-valuemax=\"100\" aria-valuenow=\"50\">\n\t\t\t<div class=\"elementor-progress-bar\" data-max=\"50\">\n\t\t\t\t<span class=\"elementor-progress-text\"><\/span>\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-progress-percentage\">50%<\/span>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Basic Details: Course Code: EM 525 Credits: 3 Pre-requisites: EM212, EM213 Compulsory\/Optional: Optional Aim : To introduce basic concepts of Bayesian analysis, including how to conduct posterior and predictive inference; learn how to use common Bayesian models in applications; learn &hellip; <\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-10827","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/eng.pdn.ac.lk\/maths\/wp-json\/wp\/v2\/pages\/10827","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eng.pdn.ac.lk\/maths\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eng.pdn.ac.lk\/maths\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eng.pdn.ac.lk\/maths\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eng.pdn.ac.lk\/maths\/wp-json\/wp\/v2\/comments?post=10827"}],"version-history":[{"count":5,"href":"https:\/\/eng.pdn.ac.lk\/maths\/wp-json\/wp\/v2\/pages\/10827\/revisions"}],"predecessor-version":[{"id":11196,"href":"https:\/\/eng.pdn.ac.lk\/maths\/wp-json\/wp\/v2\/pages\/10827\/revisions\/11196"}],"wp:attachment":[{"href":"https:\/\/eng.pdn.ac.lk\/maths\/wp-json\/wp\/v2\/media?parent=10827"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}