{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T17:48:13Z","timestamp":1790617693057,"version":"4.1.0"},"reference-count":29,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2016,2,17]],"date-time":"2016-02-17T00:00:00Z","timestamp":1455667200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,1,1]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>We investigate a longitudinal data model with non-parametric regression functions that may vary across the observed individuals. In a variety of applications, it is natural to impose a group structure on the regression curves. Specifically, we may suppose that the observed individuals can be grouped into a number of classes whose members all share the same regression function. We develop a statistical procedure to estimate the unknown group structure from the data. Moreover, we derive the asymptotic properties of the procedure and investigate its finite sample performance by means of a simulation study and a real data example.<\/jats:p>","DOI":"10.1111\/rssb.12155","type":"journal-article","created":{"date-parts":[[2016,2,18]],"date-time":"2016-02-18T13:51:12Z","timestamp":1455803472000},"page":"5-27","source":"Crossref","is-referenced-by-count":54,"title":["Classification of Non-Parametric Regression Functions in Longitudinal Data Models"],"prefix":"10.1093","volume":"79","author":[{"given":"Michael","family":"Vogt","sequence":"first","affiliation":[{"name":"University of Bonn \u00a0 Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Oliver","family":"Linton","sequence":"additional","affiliation":[{"name":"University of Cambridge \u00a0 UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2016,2,17]]},"reference":[{"key":"2023021709332746500_rssb12155-cit-0001","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1111\/1467-9469.00350","article-title":"Unsupervised curve clustering using B-splines","volume":"30","author":"Abraham","year":"2003","journal-title":"Scand. 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