{"paper":{"title":"Nonparametric estimation in random coefficients binary choice models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"ENSAE), Eric Gautier (CREST, Yuichi Kitamura","submitted_at":"2009-07-14T20:59:44Z","abstract_excerpt":"Nous consid\\'erons dans cet article des mod\\`eles \\`a choix binaires et coefficients al\\'eatoires. Le but est d'estimer de mani\\`ere nonparam\\'etrique la densit\\'e du coefficient al\\'eatoire. Il s'agit d'un probl\\`eme inverse mal pos\\'e caract\\'eris\\'e par une transformation int\\'egrale. Un nouvel estimateur de la densit\\'e du coefficient al\\'eatoire est propos\\'e. Il est bas\\'e sur les d\\'eveloppements en s\\'eries de Fourier-Laplace sur la sph\\`ere. Cette approche permet une \\'etude fine du probl\\`eme d'identification mais aussi d'obtenir un estimateur par injection ayant une expression expli"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0907.2451","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}