Local Constant and Local Bilinear Multiple-Output Quantile Regression
Marc Hallin (),
Davy Paindaveine () and
No ECARES 2012-003, Working Papers ECARES from ULB -- Universite Libre de Bruxelles
A new quantile regression concept, based on a directional version of Koenker and Bassett’s traditional single-output one, has been introduced in [Hallin, Paindaveine and ¡Siman, Annals of Statistics 2010, 635-703] for multiple-output regression problems. The polyhedral contours provided by the empirical counterpart of that concept, however, cannot adapt to nonlinear and/or heteroskedastic dependencies. This paper therefore introduces local constant and local linear versions of those contours, which both allow to asymptotically recover the conditional halfspace depth contours of the response. In the multiple-output context considered, the local linear construction actually is of a bilinear nature. Bahadur representation and asymptotic normality results are established. Illustrations are provided both on simulated and real data.
Keywords: nonparametric regression; local bilineear regression; quantile regression; multivariate quantile; growth chart; halfspace depth (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
https://dipot.ulb.ac.be/dspace/bitstream/2013/1069 ... AN-localconstant.pdf 2012-003-HALLIN_ZU_PAINDAVEINE_SIMAN-localconstant (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eca:wpaper:2013/106956
Ordering information: This working paper can be ordered from
http://hdl.handle.ne ... lb.ac.be:2013/106956
Access Statistics for this paper
More papers in Working Papers ECARES from ULB -- Universite Libre de Bruxelles Contact information at EDIRC.
Bibliographic data for series maintained by Benoit Pauwels ().