0376413 20240103200824.920120511235959.9 000301214900008 10.1016/j.csda.2010.11.014 14 s. cav_un_epca*02564390167-9473564 (2012)840-853Elsevier halfspace depth multiple-output regression parametric linear programming quantile regression cav_un_auth*0274302 Paindaveine D. BE cav_un_auth*0266474 Šiman Miroslav Stochastická informatika Department of Stochastic Informatics SI SI UTIA-B Department of Stochastic Informatics Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2012/SI/siman-0376413.pdf 1M06047 GA MŠk CZ cav_un_auth*0217941 CEZ:AV0Z10750506 A procedure relying on linear programming techniques is developed to compute (regression) quantile regions that have been defined recently. In the location case, this procedure allows for computing halfspace depth regions even beyond dimension two. The corresponding algorithm is described in detail, and illustrations are provided both for simulated and real data. The efficiency of a Matlab implementation of the algorithm is also investigated through extensive simulations. 2013 BA http://hdl.handle.net/11104/0208819 COMPUTERSCIENCEINTERDISCIPLINARYAPPLICATIONS|STATISTICSPROBABILITY 1.449 0.415 5.8 0.02601 0.917 4718 325 51 1.277 26.07 1.4 Q1 68.868 60.006 Q2 Q2 2012 000301214900008 WOS cav_un_epca*0256439 Computational Statistics and Data Analysis 0167-9473 1872-7352 Roč. 56 č. 4 2012 840 853 Elsevier