252 citations · 827 across the 31 of their papers we have counts for
4 papers · 1 filter
Conditional quantile estimation through optimal quantization
Isabelle Charlier, Davy Paindaveine, Jérôme Saracco
In this paper, we use quantization to construct a nonparametric estimator of conditional quantiles of a scalar response given a d-dimensional vector of covariates . First we…
Probit transformation for nonparametric kernel estimation of the copula density
Gery Geenens, Arthur Charpentier, Davy Paindaveine
Copula modelling has become ubiquitous in modern statistics. Here, the problem of nonparametrically estimating a copula density is addressed. Arguably the most popular nonparametri…
High-dimensional tests for spherical location and spiked covariance
Christophe Ley, Davy Paindaveine, Thomas Verdebout
Rotationally symmetric distributions on the p-dimensional unit hypersphere, extremely popular in directional statistics, involve a location parameter theta that indicates the direc…
Depth-based Runs Tests for Bivariate Central Symmetry
Rainer Dyckerhoff, Christophe Ley, Davy Paindaveine
McWilliams (1990) introduced a nonparametric procedure based on runs for the problem of testing univariate symmetry about the origin (equivalently, about an arbitrary specified cen…