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Minimal penalty for Goldenshluger-Lepski method
v1v2 (latest)

Minimal penalty for Goldenshluger-Lepski method

3 March 2015
C. Lacour
P. Massart
ArXiv (abs)PDFHTML

Papers citing "Minimal penalty for Goldenshluger-Lepski method"

12 / 12 papers shown
Title
Adaptive and non-adaptive minimax rates for weighted Laplacian-eigenmap
  based nonparametric regression
Adaptive and non-adaptive minimax rates for weighted Laplacian-eigenmap based nonparametric regression
Zhaoyang Shi
Krishnakumar Balasubramanian
W. Polonik
47
2
0
31 Oct 2023
Minimax adaptive estimation in manifold inference
Minimax adaptive estimation in manifold inference
Vincent Divol
53
18
0
14 Jan 2020
Statistical data analysis in the Wasserstein space
Statistical data analysis in the Wasserstein space
Jérémie Bigot
69
32
0
19 Jul 2019
Adaptive estimation in the linear random coefficients model when
  regressors have limited variation
Adaptive estimation in the linear random coefficients model when regressors have limited variation
C. Gaillac
Eric Gautier
43
13
0
16 May 2019
Adaptive Density Estimation on Bounded Domains
Adaptive Density Estimation on Bounded Domains
Karine Bertin
Salima El Kolei
N. Klutchnikoff
56
7
0
25 Oct 2018
Estimating minimum effect with outlier selection
Estimating minimum effect with outlier selection
Alexandra Carpentier
S. Delattre
Étienne Roquain
Nicolas Verzélen
76
9
0
21 Sep 2018
Spectral thresholding for the estimation of Markov chain transition
  operators
Spectral thresholding for the estimation of Markov chain transition operators
Matthias Loffler
A. Picard
74
6
0
24 Aug 2018
Finite sample improvement of Akaike's Information Criterion
Finite sample improvement of Akaike's Information Criterion
Adrien Saumard
F. Navarro
78
3
0
06 Mar 2018
Nonparametric Poisson regression from independent and weakly dependent
  observations by model selection
Nonparametric Poisson regression from independent and weakly dependent observations by model selection
Martin Kroll
47
12
0
08 Aug 2017
Local bandwidth selection for kernel density estimation in bifurcating
  Markov chain model
Local bandwidth selection for kernel density estimation in bifurcating Markov chain model
S. Valère
A. Roche
49
6
0
21 Jun 2017
Data driven estimation of Laplace-Beltrami operator
Data driven estimation of Laplace-Beltrami operator
Frédéric Chazal
Ilaria Giulini
Bertrand Michel
36
7
0
30 Dec 2016
Estimating the Division Kernel of a Size-Structured Population
Estimating the Division Kernel of a Size-Structured Population
V. Hoang
15
11
0
09 Sep 2015
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