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Optimal model selection in density estimation
v1v2 (latest)

Optimal model selection in density estimation

9 October 2009
M. Lerasle
ArXiv (abs)PDFHTML

Papers citing "Optimal model selection in density estimation"

17 / 17 papers shown
Title
Adaptive directional estimator of the density in R^d for independent and
  mixing sequences
Adaptive directional estimator of the density in R^d for independent and mixing sequences
Sinda Ammous
J. Dedecker
Céline Duval
76
0
0
22 May 2023
An adaptive procedure for Fourier estimators: illustration to
  deconvolution and decompounding
An adaptive procedure for Fourier estimators: illustration to deconvolution and decompounding
Céline Duval
Johanna Kappus
46
3
0
14 Feb 2018
Estimator selection: a new method with applications to kernel density
  estimation
Estimator selection: a new method with applications to kernel density estimation
C. Lacour
P. Massart
Vincent Rivoirard
92
57
0
18 Jul 2016
Optimal kernel selection for density estimation
Optimal kernel selection for density estimation
M. Lerasle
Nelo Molter Magalhães
Patricia Reynaud-Bouret
55
18
0
06 Nov 2015
Model selection in logistic regression
Model selection in logistic regression
Marius Kwemou
M. Taupin
A. Tocquet
56
3
0
30 Aug 2015
Slope heuristics and V-Fold model selection in heteroscedastic
  regression using strongly localized bases
Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases
F. Navarro
Adrien Saumard
74
16
0
21 May 2015
Optimal upper and lower bounds for the true and empirical excess risks
  in heteroscedastic least-squares regression
Optimal upper and lower bounds for the true and empirical excess risks in heteroscedastic least-squares regression
Adrien Saumard
95
22
0
24 Apr 2013
Choice of V for V-Fold Cross-Validation in Least-Squares Density
  Estimation
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation
Sylvain Arlot
M. Lerasle
70
19
0
22 Oct 2012
Robust empirical mean Estimators
Robust empirical mean Estimators
M. Lerasle
R. I. Oliveira
153
81
0
16 Dec 2011
Oracle approach and slope heuristic in context tree estimation
Oracle approach and slope heuristic in context tree estimation
Aurélien Garivier
M. Lerasle
111
4
0
09 Nov 2011
Multi-task Regression using Minimal Penalties
Multi-task Regression using Minimal Penalties
Matthieu Solnon
Sylvain Arlot
Francis R. Bach
119
59
0
22 Jul 2011
Sharp oracle inequalities and slope heuristic for specification
  probabilities estimation in discrete random fields
Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields
M. Lerasle
D. Takahashi
88
9
0
13 Jun 2011
The Slope Heuristics in Heteroscedastic Regression
The Slope Heuristics in Heteroscedastic Regression
Adrien Saumard
178
8
0
06 Apr 2011
An Oracle Approach for Interaction Neighborhood Estimation in Random
  Fields
An Oracle Approach for Interaction Neighborhood Estimation in Random Fields
M. Lerasle
D. Takahashi
102
5
0
22 Oct 2010
Adaptive non-asymptotic confidence balls in density estimation
Adaptive non-asymptotic confidence balls in density estimation
M. Lerasle
172
3
0
26 Jul 2010
Optimal model selection for density estimation of stationary data under
  various mixing conditions
Optimal model selection for density estimation of stationary data under various mixing conditions
M. Lerasle
212
19
0
08 Nov 2009
Choosing a penalty for model selection in heteroscedastic regression
Choosing a penalty for model selection in heteroscedastic regression
Sylvain Arlot
172
13
0
16 Dec 2008
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