{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T11:37:22Z","timestamp":1787225842052,"version":"build-2736575974"},"reference-count":42,"publisher":"Informa UK Limited","issue":"546","funder":[{"DOI":"10.13039\/501100000930","name":"NSF Grant","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000930","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of the American Statistical Association"],"published-print":{"date-parts":[[2024,4,2]]},"DOI":"10.1080\/01621459.2022.2147074","type":"journal-article","created":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T01:40:46Z","timestamp":1668217246000},"page":"887-903","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":7,"title":["Two-Way Truncated Linear Regression Models with Extremely Thresholding Penalization"],"prefix":"10.1080","volume":"119","author":[{"given":"Hao Yang","family":"Teng","sequence":"first","affiliation":[{"name":"Department of Mathematics and Statistics, Arkansas State University","place":["Jonesboro"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengjun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Wisconsin-Madison","place":["Madison"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2022,12,12]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1214\/10-AOAS388"},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000001523"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/10485252.2017.1375111"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00362-012-0482-x"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753382273"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1201\/9780429096280"},{"key":"e_1_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2008.00674.x"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176342999"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.3390\/ijms21082994"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1198\/jcgs.2009.08041"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/1468-0262.00124"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2015.1073595"},{"key":"e_1_3_3_14_1","first-page":"1480","article-title":"\u201cMultiple Change-Point Estimation with a Total Variation Penalty","volume":"106","author":"Harchaoui Z.","year":"2012","unstructured":"Harchaoui, Z., and L\u00e9vy-Leduc, C. (2012), \u201cMultiple Change-Point Estimation with a Total Variation Penalty,\u201d Journal of the American Statistical Association, 106, 1480\u20131493.","journal-title":"Journal of the American Statistical Association"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/56.3.495"},{"key":"e_1_3_3_16_1","first-page":"1","article-title":"\u201cAn Efficient Two Step Algorithm for High Dimensional Change Point Regression Models without Grid Search","volume":"20","author":"Kaul A.","year":"2019","unstructured":"Kaul, A., Jandhyala, V. K., and Fotopoulos, S. B. (2019a), \u201cAn Efficient Two Step Algorithm for High Dimensional Change Point Regression Models without Grid Search,\u201d Journal of Machine Learning Research, 20, 1\u201340.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_17_1","article-title":"Detection and Estimation of Parameters in High Dimensional Multiple Change Point Regression Model via l1\/l0 Regularization and Discrete Optimization","author":"Kaul A.","year":"2019","unstructured":"Kaul, A., Jandhyala, V. K., and Fotopoulos, S. B. (2019b), \u201cDetection and Estimation of Parameters in High Dimensional Multiple Change Point Regression Model via l1\/l0 Regularization and Discrete Optimization,\u201d arXiv:1906.04396.","journal-title":"arXiv:1906.04396"},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOS1403"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2014.892882"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1015957397"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/78.1.15"},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12108"},{"key":"e_1_3_3_23_1","article-title":"Computationally Efficient Change Point Detection for High-Dimensional Regression","author":"Leonardi F.","year":"2016","unstructured":"Leonardi, F., and B\u00fchlmann, P. (2016), \u201cComputationally Efficient Change Point Detection for High-Dimensional Regression,\u201d arXiv preprint arXiv:1601.03704.","journal-title":"arXiv preprint arXiv:1601.03704"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2012.695654"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2019.1665531"},{"key":"e_1_3_3_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2015.06.002"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176349404"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.1214\/lnms\/1215463132"},{"key":"e_1_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.3892\/ol.2020.12322"},{"key":"e_1_3_3_30_1","first-page":"1","article-title":"\u201cFused Lasso Approach in Regression Coefficients Clustering \u2014 Learning Parameter Heterogeneity in Data Integration","volume":"17","author":"Tang L.","year":"2016","unstructured":"Tang, L., and Song, P. X. (2016), \u201cFused Lasso Approach in Regression Coefficients Clustering \u2014 Learning Parameter Heterogeneity in Data Integration,\u201d Journal of Machine learning Research, 17, 1\u201323.","journal-title":"Journal of Machine learning Research"},{"key":"e_1_3_3_31_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"e_1_3_3_32_1","first-page":"1","article-title":"\u201cStatistically and Computationally Efficient Change Point Localization in Regression Settings","volume":"22","author":"Wang D.","year":"2021","unstructured":"Wang, D., Zhao, Z., Lin, K., and Willet, R. (2021), \u201cStatistically and Computationally Efficient Change Point Localization in Regression Settings,\u201d Journal of Machine Learning Research, 22, 1\u201346.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_3_33_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12243"},{"key":"e_1_3_3_34_1","doi-asserted-by":"publisher","DOI":"10.1002\/jae.2632"},{"key":"e_1_3_3_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jeconom.2020.04.003"},{"key":"e_1_3_3_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2411220"},{"key":"e_1_3_3_37_1","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOS729"},{"key":"e_1_3_3_38_1","first-page":"001","article-title":"\u201cFunctional Effects of Four or Fewer Critical Genes Linked to Lung Cancers and New Subtypes Detected by a New Machine Learning Classifier","volume":"11","author":"Zhang Z.","year":"2021","unstructured":"Zhang, Z. (2021), \u201cFunctional Effects of Four or Fewer Critical Genes Linked to Lung Cancers and New Subtypes Detected by a New Machine Learning Classifier,\u201d Journal of Clinical Trials, 11, 001.","journal-title":"Journal of Clinical Trials"},{"key":"e_1_3_3_39_1","doi-asserted-by":"publisher","DOI":"10.1177\/11769351221076360"},{"key":"e_1_3_3_40_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2012.710509"},{"key":"e_1_3_3_41_1","doi-asserted-by":"publisher","DOI":"10.3389\/fmolb.2020.561456"},{"key":"e_1_3_3_42_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214506000000735"},{"key":"e_1_3_3_43_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"}],"container-title":["Journal of the American Statistical Association"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/01621459.2022.2147074","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,29]],"date-time":"2025-07-29T19:06:20Z","timestamp":1753815980000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/01621459.2022.2147074"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,12]]},"references-count":42,"journal-issue":{"issue":"546","published-print":{"date-parts":[[2024,4,2]]}},"alternative-id":["10.1080\/01621459.2022.2147074"],"URL":"https:\/\/doi.org\/10.1080\/01621459.2022.2147074","relation":{},"ISSN":["0162-1459","1537-274X"],"issn-type":[{"value":"0162-1459","type":"print"},{"value":"1537-274X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,12]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uasa20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=uasa20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2020-08-27","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-10-27","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-11-07","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-12-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}