{"id":4605,"global_id":"www.ibs.re.kr\/bimag?id=4605","global_id_lineage":["www.ibs.re.kr\/bimag?id=4605"],"author":"3","status":"publish","date":"2021-06-03 09:30:09","date_utc":"2021-06-03 00:30:09","modified":"2021-06-04 17:29:29","modified_utc":"2021-06-04 08:29:29","url":"https:\/\/www.ibs.re.kr\/bimag\/event\/2021-07-01\/","rest_url":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/events\/4605","title":"Statistical Inference with Neural Network Imputation for Item Nonresponse","description":"

Abstract: We consider the problem of nonparametric imputation using neural network models. Neural network models can capture complex nonlinear trends and interaction effects, making it a powerful tool for predicting missing values under minimum assumptions on the missingness mechanism. Statistical inference with neural network imputation, including variance estimation, is challenging because the basis for function estimation is estimated rather than known. In this paper, we tackle the problem of statistical inference with neural network imputation by treating the hidden nodes in a neural network as data-driven basis functions. We prove that the uncertainty in estimating the basis functions can be safely ignored and hence the linearization method for neural network imputation can be greatly simplified. A simulation study confirms that the proposed approach results in efficient and well-calibrated confidence intervals even when classic approaches fail due to severe nonlinearity and complicated interactions.<\/p>","excerpt":"","slug":"2021-07-01","image":{"url":"https:\/\/www.ibs.re.kr\/bimag\/cms\/wp-content\/uploads\/2021\/06\/JKK_profile2.jpg","id":4619,"extension":"jpg","width":262,"height":262},"all_day":false,"start_date":"2021-07-01 11:00:00","start_date_details":{"year":"2021","month":"07","day":"01","hour":"11","minutes":"00","seconds":"00"},"end_date":"2021-07-01 12:00:00","end_date_details":{"year":"2021","month":"07","day":"01","hour":"12","minutes":"00","seconds":"00"},"utc_start_date":"2021-07-01 02:00:00","utc_start_date_details":{"year":"2021","month":"07","day":"01","hour":"02","minutes":"00","seconds":"00"},"utc_end_date":"2021-07-01 03:00:00","utc_end_date_details":{"year":"2021","month":"07","day":"01","hour":"03","minutes":"00","seconds":"00"},"timezone":"Asia\/Seoul","timezone_abbr":"KST","cost":"","cost_details":{"currency_symbol":"","currency_code":"","currency_position":"prefix","values":[]},"website":"","show_map":true,"show_map_link":true,"hide_from_listings":false,"sticky":false,"featured":false,"categories":[{"name":"Biomedical Mathematics Seminar","slug":"biomedical-mathematics-seminar","term_group":0,"term_taxonomy_id":220,"taxonomy":"tribe_events_cat","description":"","parent":231,"count":92,"filter":"raw","id":220,"urls":{"self":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/categories\/220","collection":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/categories","up":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/categories\/231"}}],"tags":[],"venue":{"id":4354,"author":"3","status":"publish","date":"2021-03-31 09:33:38","date_utc":"2021-03-31 00:33:38","modified":"2021-06-22 13:54:55","modified_utc":"2021-06-22 04:54:55","url":"https:\/\/www.ibs.re.kr\/bimag\/venue\/b305-seminar-room-ibs\/","venue":"B305 Seminar room, IBS","slug":"b305-seminar-room-ibs","address":"55 Expo-ro Yuseong-gu","city":"Daejeon","country":"Korea, Republic of","zip":"34126","json_ld":{"@type":"Place","name":"B305 Seminar room, IBS","description":"","url":"","address":{"@type":"PostalAddress","streetAddress":"55 Expo-ro Yuseong-gu","addressLocality":"Daejeon","postalCode":"34126","addressCountry":"Korea, Republic of"},"telephone":"","sameAs":""},"show_map":true,"show_map_link":true,"global_id":"www.ibs.re.kr\/bimag?id=4354","global_id_lineage":["www.ibs.re.kr\/bimag?id=4354"]},"organizer":[{"id":3971,"author":"3","status":"publish","date":"2021-02-23 18:10:12","date_utc":"2021-02-23 09:10:12","modified":"2021-02-23 18:10:12","modified_utc":"2021-02-23 09:10:12","url":"https:\/\/www.ibs.re.kr\/bimag\/organizer\/jae-kyoung-kim\/","organizer":"Jae Kyoung Kim","slug":"jae-kyoung-kim","email":"jaekkim@kaist.ac.kr","json_ld":{"@type":"Person","name":"Jae Kyoung Kim","description":"","url":"","telephone":"","email":"jaekkim@kaist.ac.kr","sameAs":""},"global_id":"www.ibs.re.kr\/bimag?id=3971","global_id_lineage":["www.ibs.re.kr\/bimag?id=3971"]}],"custom_fields":[],"json_ld":{"@context":"http:\/\/schema.org","@type":"Event","name":"Statistical Inference with Neural Network Imputation for Item Nonresponse","description":"<p>Abstract: We consider the problem of nonparametric imputation using neural network models. Neural network models can capture complex nonlinear trends and interaction effects, making it a powerful tool for predicting … <\/p>\\n<p class="link-more"><a href="https:\/\/www.ibs.re.kr\/bimag\/event\/2021-07-01\/" class="more-link">Continue reading<span class="screen-reader-text"> "Statistical Inference with Neural Network Imputation for Item Nonresponse"<\/span><\/a><\/p>\\n","image":"https:\/\/www.ibs.re.kr\/bimag\/cms\/wp-content\/uploads\/2021\/06\/JKK_profile2.jpg","url":"https:\/\/www.ibs.re.kr\/bimag\/event\/2021-07-01\/","eventAttendanceMode":"https:\/\/schema.org\/OfflineEventAttendanceMode","eventStatus":"https:\/\/schema.org\/EventScheduled","startDate":"2021-07-01T11:00:00+09:00","endDate":"2021-07-01T12:00:00+09:00","location":{"@type":"Place","name":"B305 Seminar room, IBS","description":"","url":"","address":{"@type":"PostalAddress","streetAddress":"55 Expo-ro Yuseong-gu","addressLocality":"Daejeon","postalCode":"34126","addressCountry":"Korea, Republic of"},"telephone":"","sameAs":""},"organizer":{"@type":"Person","name":"Jae Kyoung Kim","description":"","url":"","telephone":"","email":"jaekkim@kaist.ac.kr","sameAs":""},"performer":"Organization"}}