{"id":591,"date":"2016-07-04T16:14:49","date_gmt":"2016-07-04T23:14:49","guid":{"rendered":"http:\/\/blogs.oregonstate.edu\/iisa\/?p=591"},"modified":"2016-08-04T11:28:11","modified_gmt":"2016-08-04T18:28:11","slug":"session-cp2","status":"publish","type":"post","link":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/session-cp2\/","title":{"rendered":"Session CP2"},"content":{"rendered":"<h2>Contributed session 2<\/h2>\n<p><strong>Organizer<\/strong>: IISA<br \/>\n<strong>Chair:<\/strong> Subrata Kundu, George Washington University<br \/>\n<strong>Time<\/strong>: Sunday, 10:00\u201311:30<br \/>\n<strong>Room:<\/strong> LInC\u00a0 350<\/p>\n<hr \/>\n<h4>10:00-10:15<\/h4>\n<h3>Sensor fusion for normally distributed noise estimation by Snapshots techniques using foot and mouth diseases massive data sets in Karnataka State<\/h3>\n<p><strong>Basavarajaiah DM<\/strong>, Veterinary College KVAFSU Hebbal, India<\/p>\n<hr \/>\n<h4>10:15-10:30<\/h4>\n<h3>Partial Least Squares Regression with application in chemometric data<\/h3>\n<p><strong>Basiru Yusuf<\/strong>, Jigawa State Polytechnic, Nigeria.<\/p>\n<hr \/>\n<h4>10:30-10:45<\/h4>\n<h3>Modeling asymmetric bivariate data using mixtures of rotated copulas<\/h3>\n<p><strong>Alphonce Bere<\/strong>, University of Venda<\/p>\n<hr \/>\n<h4>10:45-11:00<\/h4>\n<h3>Consistent Modelling of Index and Volatility Derivatives with a Random Field Local Volatility Model<\/h3>\n<p><strong>Boyu Wei<\/strong>, The University of Hong Kong<\/p>\n<hr \/>\n<h4>11:00-11:15<\/h4>\n<h3>Transmuted Erlang-Truncated Exponential Distribution<\/h3>\n<p><strong>Idika Okorie<\/strong>, University of Mancester, UK<\/p>\n<hr \/>\n<h4>11:15-11:30<\/h4>\n<h3>Bayesian Regression with Errors from ESDIW Distribution<\/h3>\n<p><strong>Ahmad Flaih,<\/strong> University of Alqadisiyah<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Contributed session 2 Organizer: IISA Chair: Subrata Kundu, George Washington University Time: Sunday, 10:00\u201311:30 Room: LInC\u00a0 350 10:00-10:15 Sensor fusion for normally distributed noise estimation by Snapshots techniques using foot and mouth diseases massive data sets in Karnataka State Basavarajaiah DM, Veterinary College KVAFSU Hebbal, India 10:15-10:30 Partial Least Squares Regression with application in chemometric&hellip; <a href=\"https:\/\/dev.blogs.oregonstate.edu\/iisa\/session-cp2\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":6216,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[195222],"tags":[1077464],"class_list":["post-591","post","type-post","status-publish","format-standard","hentry","category-program","tag-concurrent-sessions-3b"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/posts\/591","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/users\/6216"}],"replies":[{"embeddable":true,"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/comments?post=591"}],"version-history":[{"count":8,"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/posts\/591\/revisions"}],"predecessor-version":[{"id":899,"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/posts\/591\/revisions\/899"}],"wp:attachment":[{"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/media?parent=591"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/categories?post=591"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dev.blogs.oregonstate.edu\/iisa\/wp-json\/wp\/v2\/tags?post=591"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}