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20152026
most citedAsymptotic properties of Dirichlet kernel density estimators

26 citations · 305 across the 66 of their papers we have counts for

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math.ST2026

Spectral Analysis of Gaussian Integral Operators Arising in BHEP Tests

Bruno Ebner, Dominic Edelmann, Norbert Henze +2

The Baringhaus-Henze-Epps-Pulley (BHEP) tests for multivariate normality are affine-invariant goodness-of-fit tests based on a Gaussian-weighted distance between empirical an…

math.ST2026

A two-sample test for symmetric positive definite matrix distributions using Wishart kernel density estimators

Frédéric Ouimet

We develop a nonparametric two-sample test for distributions supported on the cone of symmetric positive definite matrices. The procedure relies on the Wishart kernel density estim…

math.ST2026

Minimax properties of gamma kernel density estimators under loss and -Hölder smoothness of the target

Frédéric Ouimet

This paper considers the asymptotic behavior in -Hölder spaces, and under loss, of the non-modified gamma kernel density estimator introduced by Chen (Annals of the Instit…

math.ST2026

Asymptotic properties of the multivariate Szász-Mirakyan estimator for cumulative distribution functions on the nonnegative orthant

Guanjie Lyu, Frédéric Ouimet, Cindy Feng

The asymptotic properties of multivariate Szász-Mirakyan estimators for cumulative distribution functions (cdf) supported on the nonnegative orthant are investigated. Explicit bias…

math.ST2026

Stein's method for the matrix normal distribution

Robert E. Gaunt, Frédéric Ouimet, Donald Richards

This work presents the first systematic development of Stein's method for matrix distributions. We establish the basic essential ingredients of Stein's method for matrix normal app…