26 citations · 52 across the 24 of their papers we have counts for
26 papers
Four-Moment Approximations and Fast -Values for BHEP Tests of Multivariate Normality
Bruno Ebner, Norbert Henze
The Baringhaus--Henze--Epps--Pulley (BHEP) tests form a widely applicable class of affine invariant and consistent tests for multivariate normality. Under the null hypothesis, the…
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…
A Stein Characterization-type Omnibus Tests for the Discrete Pareto Distribution
Deepesh Bhati, Bruno Ebner, Sakshi Khandelwal
The discrete Pareto (or Zeta, Zipf) distribution, arises naturally in modeling rank-frequency data across diverse fields such as linguistics, demography, biology, and computer scie…
On Stein's test of uniformity on the hypersphere
Paul Axmann, Bruno Ebner, Eduardo García-Portugués
We propose a new test of uniformity on the hypersphere based on a Stein characterization associated with the Laplace-Beltrami operator. We identify a sufficient class of test funct…
A goodness-of-fit test for the Zeta distribution with unknown parameter
Bruno Ebner, Daniel Hlubinka
We introduce a new goodness-of-fit test for count data on for the Zeta distribution with unknown parameter. The test is built on a Stein-type characterization that use…
High-dimensional Sobolev tests on hyperspheres
Bruno Ebner, Eduardo García-Portugués, Thomas Verdebout
We derive the limit null distribution of the class of Sobolev tests of uniformity on the hypersphere as the dimension and the sample size diverge to infinity at arbitrary rates. Th…