{ "id": "1312.6489", "version": "v4", "published": "2013-12-23T09:13:49.000Z", "updated": "2015-05-20T14:08:41.000Z", "title": "New Algorithms for $M$-Estimation of Multivariate Location and Scatter", "authors": [ "Lutz Duembgen", "Klaus Nordhausen", "Heike Schuhmacher" ], "categories": [ "stat.CO" ], "abstract": "We present new algorithms for $M$-estimators of multivariate scatter and location and for symmetrized $M$-estimators of multivariate scatter. The new algorithms are considerably faster than currently used fixed-point and related algorithms. The main idea is to utilize a second order Taylor expansion of the target functional and devise a partial Newton-Raphson procedure. In connection with symmetrized $M$-estimators we work with incomplete $U$-statistics to accelerate our procedures initially.", "revisions": [ { "version": "v3", "updated": "2014-01-28T18:03:03.000Z", "abstract": "We present new algorithms for $M$-estimators of multivariate location and scatter and for symmetrized $M$-estimators of multivariate scatter. The new algorithms are considerably faster than currently used fixed-point and related algorithms. The main idea is to utilize a second order Taylor expansion of the target functional and devise a partial Newton-Raphson procedure. In connection with the symmetrized $M$-estimators we work with incomplete $U$-statistics to accelerate our procedures initially.", "comment": null, "journal": null, "doi": null }, { "version": "v4", "updated": "2015-05-20T14:08:41.000Z" } ], "analyses": { "subjects": [ "62H12", "65C60" ], "keywords": [ "multivariate location", "estimation", "second order taylor expansion", "partial newton-raphson procedure", "estimators" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2013arXiv1312.6489D" } } }