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Bandwidth selection in kernel density estimation: Oracle inequalities
  and adaptive minimax optimality

Bandwidth selection in kernel density estimation: Oracle inequalities and adaptive minimax optimality

6 September 2010
A. Goldenshluger
O. Lepski
ArXivPDFHTML

Papers citing "Bandwidth selection in kernel density estimation: Oracle inequalities and adaptive minimax optimality"

36 / 36 papers shown
Title
Explaining the Success of Nearest Neighbor Methods in Prediction
George H. Chen
Devavrat Shah
OOD
73
145
0
21 Feb 2025
Confidence regions for the multidimensional density in the uniform norm
  based on the recursive Wolverton-Wagner estimation
Confidence regions for the multidimensional density in the uniform norm based on the recursive Wolverton-Wagner estimation
Maria Rosaria Formica
Eugeny Ostrovsky
Leonid Sirota
16
0
0
02 Sep 2024
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
14
0
0
22 May 2023
Estimating a density near an unknown manifold: a Bayesian nonparametric
  approach
Estimating a density near an unknown manifold: a Bayesian nonparametric approach
Clément Berenfeld
Paul Rosa
Judith Rousseau
58
10
0
31 May 2022
Multivariate Trend Filtering for Lattice Data
Multivariate Trend Filtering for Lattice Data
Veeranjaneyulu Sadhanala
Yu-Xiang Wang
Addison J. Hu
R. Tibshirani
21
7
0
29 Dec 2021
Minimax properties of Dirichlet kernel density estimators
Minimax properties of Dirichlet kernel density estimators
Karine Bertin
Christian Genest
N. Klutchnikoff
Frédéric Ouimet
16
4
0
06 Dec 2021
Minimax rate of estimation for invariant densities associated to
  continuous stochastic differential equations over anisotropic Holder classes
Minimax rate of estimation for invariant densities associated to continuous stochastic differential equations over anisotropic Holder classes
Chiara Amorino
A. Gloter
16
7
0
06 Oct 2021
Aggregating estimates by convex optimization
Aggregating estimates by convex optimization
A. Juditsky
A. Nemirovski
28
0
0
16 Jul 2021
On a Projection Estimator of the Regression Function Derivative
On a Projection Estimator of the Regression Function Derivative
Fabienne Comte
Nicolas Marie
43
2
0
24 Jun 2021
Exponential confidence interval based on the recursive Wolverton-Wagner
  density estimation
Exponential confidence interval based on the recursive Wolverton-Wagner density estimation
M.R.Formica
E.Ostrovsky
L.Sirota
11
1
0
15 Feb 2021
On the nonparametric inference of coefficients of self-exciting
  jump-diffusion
On the nonparametric inference of coefficients of self-exciting jump-diffusion
Chiara Amorino
Charlotte Dion
A. Gloter
Sarah Lemler
18
5
0
24 Nov 2020
Minimax estimation of norms of a probability density: II. Rate-optimal
  estimation procedures
Minimax estimation of norms of a probability density: II. Rate-optimal estimation procedures
A. Goldenshluger
O. Lepski
29
7
0
25 Aug 2020
Density estimation on an unknown submanifold
Density estimation on an unknown submanifold
Clément Berenfeld
M. Hoffmann
31
22
0
18 Oct 2019
Density deconvolution under general assumptions on the distribution of
  measurement errors
Density deconvolution under general assumptions on the distribution of measurement errors
Denis Belomestny
A. Goldenshluger
14
17
0
25 Jul 2019
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error
  Bounds and Strong Consistency Rates
Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates
George H. Chen
36
15
0
13 May 2019
Adaptive Density Estimation on Bounded Domains
Adaptive Density Estimation on Bounded Domains
Karine Bertin
Salima El Kolei
N. Klutchnikoff
24
7
0
25 Oct 2018
Density Deconvolution with Small Berkson Errors
Density Deconvolution with Small Berkson Errors
R. Rimal
Marianna Pensky
12
2
0
16 Oct 2018
Estimating minimum effect with outlier selection
Estimating minimum effect with outlier selection
Alexandra Carpentier
S. Delattre
Étienne Roquain
Nicolas Verzélen
23
9
0
21 Sep 2018
Hypothesis Testing for High-Dimensional Multinomials: A Selective Review
Hypothesis Testing for High-Dimensional Multinomials: A Selective Review
Sivaraman Balakrishnan
Larry A. Wasserman
29
63
0
17 Dec 2017
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden
  Markov Models
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models
Luc Lehéricy
31
10
0
26 Jun 2017
Minimax density estimation for growing dimension
Minimax density estimation for growing dimension
D. McDonald
82
11
0
28 Feb 2017
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
23
57
0
18 Jul 2016
Pointwise Adaptive Estimation of the MarginalDensity of a Weakly
  Dependent Process
Pointwise Adaptive Estimation of the MarginalDensity of a Weakly Dependent Process
Karine Bertin
N. Klutchnikoff
15
5
0
31 Mar 2016
Adaptive non-parametric estimation in the presence of dependence
Adaptive non-parametric estimation in the presence of dependence
Nicolas Asin
Jan Johannes
27
8
0
01 Feb 2016
Optimal kernel selection for density estimation
Optimal kernel selection for density estimation
M. Lerasle
Nelo Molter Magalhães
Patricia Reynaud-Bouret
29
18
0
06 Nov 2015
Pointwise adaptive estimation of a multivariate density under
  independence hypothesis
Pointwise adaptive estimation of a multivariate density under independence hypothesis
G. Rebelles
21
30
0
18 Sep 2015
Structural adaptive deconvolution under $L_p$-losses
Structural adaptive deconvolution under LpL_pLp​-losses
G. Rebelles
288
16
0
23 Apr 2015
Minimal penalty for Goldenshluger-Lepski method
Minimal penalty for Goldenshluger-Lepski method
C. Lacour
P. Massart
39
36
0
03 Mar 2015
Adaptive Bayesian estimation in indirect Gaussian sequence space models
Adaptive Bayesian estimation in indirect Gaussian sequence space models
Jan Johannes
Anna Simoni
R. Schenk
38
4
0
01 Feb 2015
Adaptation to lowest density regions with application to support
  recovery
Adaptation to lowest density regions with application to support recovery
Tim Patschkowski
Angelika Rohde
52
17
0
18 Aug 2014
Adaptive pointwise estimation of conditional density function
Adaptive pointwise estimation of conditional density function
Karine Bertin
C. Lacour
Vincent Rivoirard
58
39
0
28 Dec 2013
Multivariate density estimation under sup-norm loss: oracle approach,
  adaptation and independent structure
Multivariate density estimation under sup-norm loss: oracle approach, adaptation and independent structure
Lepski Oleg
51
8
0
26 Oct 2012
On adaptive minimax density estimation on $R^d$
On adaptive minimax density estimation on RdR^dRd
A. Goldenshluger
O. Lepski
63
109
0
05 Oct 2012
Adaptive functional linear regression
Adaptive functional linear regression
Fabienne Comte
Jan Johannes
77
59
0
12 Dec 2011
Adaptive estimation of functionals in nonparametric instrumental
  regression
Adaptive estimation of functionals in nonparametric instrumental regression
C. Breunig
Jan Johannes
65
22
0
05 Sep 2011
Uniform bounds for norms of sums of independent random functions
Uniform bounds for norms of sums of independent random functions
A. Goldenshluger
O. Lepski
99
32
0
13 Apr 2009
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