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On combining the zero bias transform and the empirical characteristic
  function to test normality

On combining the zero bias transform and the empirical characteristic function to test normality

27 February 2020
B. Ebner
ArXiv (abs)PDFHTML

Papers citing "On combining the zero bias transform and the empirical characteristic function to test normality"

6 / 6 papers shown
Title
Eigenvalues approximation of integral covariance operators with
  applications to weighted $L^2$ statistics
Eigenvalues approximation of integral covariance operators with applications to weighted L2L^2L2 statistics
Bruno Ebner
M. D. Jiménez-Gamero
Bojana Milošević
41
0
0
15 Aug 2024
Composite Goodness-of-fit Tests with Kernels
Composite Goodness-of-fit Tests with Kernels
Oscar Key
Arthur Gretton
F. Briol
T. Fernandez
122
16
0
19 Nov 2021
On the eigenvalues associated with the limit null distribution of the
  Epps-Pulley test of normality
On the eigenvalues associated with the limit null distribution of the Epps-Pulley test of normality
B. Ebner
N. Henze
26
11
0
10 Sep 2021
Cauchy or not Cauchy? New goodness-of-fit tests for the Cauchy
  distribution
Cauchy or not Cauchy? New goodness-of-fit tests for the Cauchy distribution
B. Ebner
Lena Eid
B. Klar
24
4
0
24 Jun 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent
  Developments
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments
Andreas Anastasiou
Alessandro Barp
F. Briol
B. Ebner
Robert E. Gaunt
...
Qiang Liu
Lester W. Mackey
Chris J. Oates
Gesine Reinert
Yvik Swan
101
35
0
07 May 2021
Testing normality in any dimension by Fourier methods in a multivariate
  Stein equation
Testing normality in any dimension by Fourier methods in a multivariate Stein equation
B. Ebner
N. Henze
David Strieder
23
10
0
06 Jul 2020
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