{"paper":{"title":"Une alternative robuste au maximum de vraisemblance: la $\\rho$-estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.TH"],"primary_cat":"math.ST","authors_text":"Lucien Birg\\'e, Yannick Baraud","submitted_at":"2017-03-05T19:37:52Z","abstract_excerpt":"This paper is based on our personal notes for the short course we gave on January 5, 2017 at Institut Henri Poincar\\'e, after an invitation of the SFdS. Our purpose is to give an overview of the method of $\\rho$-estimation and of the optimality and robustness properties of the estimators built according to this procedure. This method can be viewed as the sequel of a long series of researches which were devoted to the construction of estimators with good properties in various statistical frameworks. We shall emphasize the connection between the $\\rho$-estimators and the previous ones, in partic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.01654","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"}