{"id":1586,"date":"2017-08-14T08:55:02","date_gmt":"2017-08-14T02:55:02","guid":{"rendered":"https:\/\/dev.isrt.ac.bd\/?post_type=tribe_events&p=1586"},"modified":"2017-08-14T08:55:02","modified_gmt":"2017-08-14T02:55:02","slug":"seminar-on-sunday-may-27-2007","status":"publish","type":"tribe_events","link":"https:\/\/isrt.ac.bd\/event\/seminar-on-sunday-may-27-2007\/","title":{"rendered":"Seminar on Sunday, May 27, 2007"},"content":{"rendered":"

Seminar : Robust linear model selection based on Least Angle Regression<\/h1>\n
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May 26, 2007 – 1:59am<\/em><\/span><\/p>\n\n\n\n\n\n\n\n
Full Title:<\/strong><\/td>\nRobust linear model selection based on Least Angle Regression<\/td>\n<\/tr>\n
Speaker:<\/strong><\/td>\nJafar A Khan, PhD<\/td>\n<\/tr>\n
<\/td>\nDepartment of Statistics, Deltin 7 Aviator গেম টাকা ইনকাম of Deltin 7, Bangladesh<\/td>\n<\/tr>\n
Date\/Time:<\/strong><\/td>\nSunday, May 27, 2007<\/span>,\u00a01200<\/td>\n<\/tr>\n
Venue:<\/strong><\/td>\nISRT Seminar Room<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

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ABSTRACT<\/strong><\/div>\n

Abstract We consider the problem of building a linear prediction model when the number of candidate covariates is large and the dataset contains a fraction of outliers and other contaminations that are difficult to visualize and clean. We aim at predicting the future non-outlying cases. Therefore, we need methods that are robust and scalable at the same time.<\/p>\n

Our two-step model building procedure consists of\u00a0sequencing<\/em>\u00a0and\u00a0segmentation<\/em>. In\u00a0sequencing<\/em>, we order the covariates and the first m covariates form a reduced set for further consideration. The\u00a0segmentation<\/em>\u00a0step carefully examines subsets of the covariates in the reduced set to select the final prediction model.<\/p>\n

We need a suitable step–by–step algorithm to sequence the covariates. Since Forward Selection (FS) is aggressive, we focus on Least Angle Regression (LARS), a powerful algorithm recently proposed by Efron, Hastie, Johnstone and Tibshirani (2004). We review LARS, and explain one approach to its robustification.<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Seminar : Robust linear model selection based on Least Angle Regression May 26, 2007 – 1:59am Full Title: Robust linear model selection based on Least Angle Regression Speaker: Jafar A … [ Read More ]<\/a><\/p>\n","protected":false},"author":5,"featured_media":0,"template":"","meta":{"_acf_changed":false,"nf_dc_page":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_tribe_events_status":"","_tribe_events_status_reason":"","footnotes":""},"tags":[],"tribe_events_cat":[15],"class_list":["post-1586","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-seminar","cat_seminar"],"acf":[],"_links":{"self":[{"href":"https:\/\/isrt.ac.bd\/wp-json\/wp\/v2\/tribe_events\/1586","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/isrt.ac.bd\/wp-json\/wp\/v2\/tribe_events"}],"about":[{"href":"https:\/\/isrt.ac.bd\/wp-json\/wp\/v2\/types\/tribe_events"}],"author":[{"embeddable":true,"href":"https:\/\/isrt.ac.bd\/wp-json\/wp\/v2\/users\/5"}],"version-history":[{"count":1,"href":"https:\/\/isrt.ac.bd\/wp-json\/wp\/v2\/tribe_events\/1586\/revisions"}],"predecessor-version":[{"id":1587,"href":"https:\/\/isrt.ac.bd\/wp-json\/wp\/v2\/tribe_events\/1586\/revisions\/1587"}],"wp:attachment":[{"href":"https:\/\/isrt.ac.bd\/wp-json\/wp\/v2\/media?parent=1586"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/isrt.ac.bd\/wp-json\/wp\/v2\/tags?post=1586"},{"taxonomy":"tribe_events_cat","embeddable":true,"href":"https:\/\/isrt.ac.bd\/wp-json\/wp\/v2\/tribe_events_cat?post=1586"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}