0376414 20240103200824.920120511235959.9 000299330000003 10.1007/s00180-011-0231-y 21 s. cav_un_epca*02525720943-4062271 (2012)29-49Springer directional quantile halfspace depth multiple-output regression parametric 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-0376414.pdf 1M06047 GA MŠk CZ cav_un_auth*0217941 CEZ:AV0Z10750506 The present paper provides a solution to the problem of finding regression quantile regions that is based on the concept of projection regression quantiles. We describe in detail the algorithm solving the parametric programming problem involved, and illustrate the resulting procedure on simulated data. 2013 BA http://hdl.handle.net/11104/0208820 STATISTICSPROBABILITY 0.771 0.023 6.5 0.00212 0.588 345 44 21 0.362 27.65 0.68 Q3 27.733 18.376 Q3 Q4 2012 000299330000003 WOS cav_un_epca*0252572 Computational Statistics 0943-4062 1613-9658 Roč. 27 č. 1 2012 29 49 Springer