{"id":22796,"date":"2023-02-21T15:41:18","date_gmt":"2023-02-21T20:41:18","guid":{"rendered":"https:\/\/carleton.ca\/math\/?p=22796"},"modified":"2023-02-21T15:41:18","modified_gmt":"2023-02-21T20:41:18","slug":"colloquium-school-of-mathematics-and-statistics-carleton-university-3","status":"publish","type":"post","link":"https:\/\/carleton.ca\/math\/2023\/colloquium-school-of-mathematics-and-statistics-carleton-university-3\/","title":{"rendered":"COLLOQUIUM – School of Mathematics and Statistics, 杏吧原创 University"},"content":{"rendered":"
Title: Imputation through random forests for missing survey data
\nSpeaker: David Haziza, University of Ottawa
\nCo-authors: Mehdi Dagdoug (University of Ottawa) and Camelia Goga (Universit\u00e9 de Bourgogne Franche Comt\u00e9)
\nDate: Friday, March 3, 2023
\nTime: 3:30 – 4:30 p.m. (coffee starting at 3:00 p.m.)
\nLocation: HP 4351 (MacPhail Room)<\/p>\n
Abstract:\u00a0 Item nonresponse in surveys is usually handled through some form of single imputation. Random forests provide flexible tools for obtaining a set of imputed values. Belonging to the class of non-parametric methods, random forests have the ability to capture nonlinear trends in the data and tend to be robust to the non-inclusion of interactions or predictors accounting for curvature. We lay out a set of sufficient conditions needed for establishing the L2-consistency of an imputed estimator based on random forests. We investigate the performance of variance estimators that account for sampling and nonresponse. We present the results from a simulation study to assess the proposed methods in terms of bias, efficiency and coverage rate of normal-based confidence intervals.<\/p>\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
Title: Imputation through random forests for missing survey data Speaker: David Haziza, University of Ottawa Co-authors: Mehdi Dagdoug (University of Ottawa) and Camelia Goga (Universit\u00e9 de Bourgogne Franche Comt\u00e9) Date: Friday, March 3, 2023 Time: 3:30 – 4:30 p.m. (coffee starting at 3:00 p.m.) Location: HP 4351 (MacPhail Room) Abstract:\u00a0 Item nonresponse in surveys is […]<\/p>\n","protected":false},"author":44,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[14,1],"tags":[],"yoast_head":"\n