Quantile regression when the covariates are functions

Type: Article

Publication Date: 2005-10-01

Citations: 99

DOI: https://doi.org/10.1080/10485250500303015

Abstract

This article deals with a linear model of regression on quantiles when the explanatory variable takes values in some functional space and the response is scalar. We propose a spline estimator of the functional coefficient that minimizes a penalized L 1 type criterion. Then, we study the asymptotic behavior of this estimator. The penalization is of primary importance to get existence and convergence.

Locations

  • Journal of nonparametric statistics - View
  • arXiv (Cornell University) - View - PDF
  • HAL (Le Centre pour la Communication Scientifique Directe) - View - PDF

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