ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.06956
  4. Cited By
Asymptotic properties of Dirichlet kernel density estimators
v1v2v3v4 (latest)

Asymptotic properties of Dirichlet kernel density estimators

17 February 2020
Frédéric Ouimet
R. Tolosana-Delgado
ArXiv (abs)PDFHTML

Papers citing "Asymptotic properties of Dirichlet kernel density estimators"

10 / 10 papers shown
Title
Optimizing Estimators of Squared Calibration Errors in Classification
Optimizing Estimators of Squared Calibration Errors in Classification
Sebastian G. Gruber
Francis Bach
235
2
0
24 Feb 2025
Local linear smoothing for regression surfaces on the simplex using
  Dirichlet kernels
Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels
Christian Genest
Frédéric Ouimet
45
2
0
13 Aug 2024
Consistent and Asymptotically Unbiased Estimation of Proper Calibration
  Errors
Consistent and Asymptotically Unbiased Estimation of Proper Calibration Errors
Teodora Popordanoska
Sebastian G. Gruber
A. Tiulpin
Florian Buettner
Matthew B. Blaschko
160
5
0
14 Dec 2023
A Consistent and Differentiable Lp Canonical Calibration Error Estimator
A Consistent and Differentiable Lp Canonical Calibration Error Estimator
Teodora Popordanoska
Raphael Sayer
Matthew B. Blaschko
UQCV
96
35
0
13 Oct 2022
Normal approximations for the multivariate inverse Gaussian distribution
  and asymmetric kernel smoothing on $d$-dimensional half-spaces
Normal approximations for the multivariate inverse Gaussian distribution and asymmetric kernel smoothing on ddd-dimensional half-spaces
Léo R. Belzile
Alain Desgagné
Christian Genest
Frédéric Ouimet
35
1
0
10 Sep 2022
Multiple combined gamma kernel estimations for nonnegative data with
  Bayesian adaptive bandwidths
Multiple combined gamma kernel estimations for nonnegative data with Bayesian adaptive bandwidths
Sobom M. Somé
C. C. Kokonendji
S. Adjabi
Naushad A. Mamode Khan
Said Beddek
34
2
0
18 Feb 2022
Minimax properties of Dirichlet kernel density estimators
Minimax properties of Dirichlet kernel density estimators
Karine Bertin
Christian Genest
N. Klutchnikoff
Frédéric Ouimet
42
5
0
06 Dec 2021
A symmetric matrix-variate normal local approximation for the Wishart
  distribution and some applications
A symmetric matrix-variate normal local approximation for the Wishart distribution and some applications
Frédéric Ouimet
35
10
0
11 Apr 2021
A study of seven asymmetric kernels for the estimation of cumulative
  distribution functions
A study of seven asymmetric kernels for the estimation of cumulative distribution functions
P. Lafaye De Micheaux
Frédéric Ouimet
47
7
0
30 Nov 2020
On the boundary properties of Bernstein estimators on the simplex
On the boundary properties of Bernstein estimators on the simplex
Frédéric Ouimet
55
19
0
21 Jun 2020
1