{"id":567,"date":"2019-10-23T11:23:26","date_gmt":"2019-10-23T11:23:26","guid":{"rendered":"http:\/\/pages.charlotte.edu\/colloquium\/?p=567"},"modified":"2019-10-23T11:23:26","modified_gmt":"2019-10-23T11:23:26","slug":"friday-november-8-2019-1100am-1200noon-fretwell-315","status":"publish","type":"post","link":"https:\/\/pages.charlotte.edu\/colloquium\/blog\/2019\/10\/23\/friday-november-8-2019-1100am-1200noon-fretwell-315\/","title":{"rendered":"Friday, November 8, 2019, 11:00am-12:00noon, Fretwell 315"},"content":{"rendered":"\n<p><strong>Speaker:\u00a0<\/strong>Prof.\u00a0Zhezhen Jin, Columbia University\u00a0(Hosted by Jiancheng Jiang)<\/p>\n\n\n\n<p><strong>Title:&nbsp;&nbsp;&nbsp;<\/strong>Variance estimation in semiparametric regression models<\/p>\n\n\n\n<p><strong>Abstract:<\/strong>&nbsp;In semiparametric regression analysis, objective functions and estimating functions for regression parameters are often nonsmooth and non-monotone, which results in difficulty in the corresponding variance estimation. I will discuss the issues and present available and newly developed &nbsp;methods with general theory, implementation and demonstrate the methods with examples.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Speaker:\u00a0Prof.\u00a0Zhezhen Jin, Columbia University\u00a0(Hosted by Jiancheng Jiang) Title:&nbsp;&nbsp;&nbsp;Variance estimation in semiparametric regression models Abstract:&nbsp;In semiparametric regression analysis, objective functions and estimating functions for regression parameters are often nonsmooth and non-monotone, which results in difficulty in the corresponding variance estimation. I will discuss the issues and present available and newly developed &nbsp;methods with general theory, implementation [&hellip;]<\/p>\n","protected":false},"author":1211,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[],"class_list":["post-567","post","type-post","status-publish","format-standard","hentry","category-spring-2022"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p3kCtT-99","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/567","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/users\/1211"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/comments?post=567"}],"version-history":[{"count":1,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/567\/revisions"}],"predecessor-version":[{"id":568,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/posts\/567\/revisions\/568"}],"wp:attachment":[{"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/media?parent=567"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/categories?post=567"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/colloquium\/wp-json\/wp\/v2\/tags?post=567"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}