{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T14:26:59Z","timestamp":1777040819885,"version":"3.51.4"},"reference-count":15,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T00:00:00Z","timestamp":1772064000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T00:00:00Z","timestamp":1772064000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["23CX03012A"],"award-info":[{"award-number":["23CX03012A"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021YFA1000102"],"award-info":[{"award-number":["2021YFA1000102"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Stat Anal Data Min: An ASA Data Sci Journal"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>In the high\u2010dimensional modeling problem of proportional response variables, how to achieve effective prediction and stable estimation with a limited number of target samples has always been an important topic in statistical modeling and transfer learning research. Based on the Beta regression model framework, this paper presents a two\u2010parameter transfer modeling method that integrates Lasso regularization and multi\u2010source transfer learning ideas. In response to the problem that source\u2010task heterogeneity may cause negative transfer, this paper designs a likelihood transferable source detection algorithm, evaluates the transfer effect through threefold cross\u2010validation, selects the source tasks that are beneficial to the target task, and jointly constructs the transfer model. In the simulation experiment, this paper assesses the performance of the proposed method under different transfer intensities and compares it with multiple benchmark methods to verify its robustness and effectiveness. This paper conducts an empirical study based on OECD regional well\u2010being data, focusing on verifying the effectiveness and superiority of the proposed transferable source detection mechanism in migration modeling. The results show that the method proposed in this paper has strong transfer ability under small sample conditions, can effectively avoid negative transfer risks, and maintain high interpretability and stability while improving model performance.<\/jats:p>","DOI":"10.1002\/sam.70069","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T11:22:50Z","timestamp":1772968970000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Transfer Learning for High\u2010Dimensional Beta Regression Models"],"prefix":"10.1002","volume":"19","author":[{"given":"Boshuo","family":"Wang","sequence":"first","affiliation":[{"name":"College of Science, China University of Petroleum  Qingdao China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4816-8588","authenticated-orcid":false,"given":"Yunquan","family":"Song","sequence":"additional","affiliation":[{"name":"College of Science, China University of Petroleum  Qingdao China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2026,2,26]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-60566-766-9.ch011"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-5004"},{"key":"e_1_2_11_5_1","unstructured":"K.Choi G.Fazekas M.Sandler andK.Cho \u201cTransfer Learning for Music Classification and Regression Tasks \u201d arXiv preprint arXiv:1703.09179(2017)."},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2020.3729"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12479"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112525"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2022.2071278"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1080\/0266476042000214501"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1201\/9780203753736"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610918.2021.1960373"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1037\/1082-989X.11.1.54"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2009.08.017"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v034.i02"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753382273"}],"container-title":["Statistical Analysis and Data Mining: An ASA Data Science Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/sam.70069","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/sam.70069","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/sam.70069","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T12:11:26Z","timestamp":1777032686000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/sam.70069"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,26]]},"references-count":15,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["10.1002\/sam.70069"],"URL":"https:\/\/doi.org\/10.1002\/sam.70069","archive":["Portico"],"relation":{},"ISSN":["1932-1864","1932-1872"],"issn-type":[{"value":"1932-1864","type":"print"},{"value":"1932-1872","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,26]]},"assertion":[{"value":"2025-09-13","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-02-11","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-02-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70069"}}