eprintid: 21331 rev_number: 11 eprint_status: archive userid: 2326 dir: disk0/00/02/13/31 datestamp: 2016-06-16 07:39:00 lastmod: 2016-11-08 18:25:30 status_changed: 2016-06-16 07:39:00 type: article metadata_visibility: show creators_name: Polonik, Wolfgang title: Minimum Volume Sets and Generalized Quantile Processes subjects: 510 divisions: 110400 keywords: Bahadur-Kiefer approximation; Empirical process theory; Generalized uniform empirical process; Level set estimation; Rates of convergence; Test for multimodality abstract: Minimum volume sets in classes C of subsets of the d-dimensionalEuclidean space can be used as estimators of level sets of a density. By usingempirical process theory consistency results and rates of convergence forminimum volume sets are given which depend on entropy conditions on C .The volume of the minimum volume sets itself, which can be used for robustestimation of scale, can be considered as a generalized quantile process inthe sense of Einmahl and Mason (1992). Bahadur-Kiefer approximations forgeneralized quantile processes are given which generalize classical resultson the one-dimensional quantile process. Rates of convergence of minimumvolume sets can be used to obtain Bahadur-Kiefer approximations and viceversa. A generalization of the minimum volume approach to regressionproblems and spectral analysis is presented. date: 1997 publisher: Elsevier id_scheme: DOI id_number: 10.11588/heidok.00021331 schriftenreihe_cluster_id: sr-10a schriftenreihe_order: 20 ppn_swb: 1653753749 own_urn: urn:nbn:de:bsz:16-heidok-213311 language: eng bibsort: POLONIKWOLMINIMUMVOL1997 full_text_status: public publication: Stochastic processes and their applications volume: 69 number: 1 place_of_pub: Amsterdam pagerange: 1-24 issn: 0304-4149 citation: Polonik, Wolfgang (1997) Minimum Volume Sets and Generalized Quantile Processes. Stochastic processes and their applications, 69 (1). pp. 1-24. ISSN 0304-4149 document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/21331/1/beitrag.20.pdf