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. 1210.1715
  4. Cited By
On adaptive minimax density estimation on $R^d$

On adaptive minimax density estimation on RdR^dRd

5 October 2012
A. Goldenshluger
O. Lepski
ArXivPDFHTML

Papers citing "On adaptive minimax density estimation on $R^d$"

25 / 25 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
12
0
0
22 May 2023
Revisiting Le Cam's Equation: Exact Minimax Rates over Convex Density
  Classes
Revisiting Le Cam's Equation: Exact Minimax Rates over Convex Density Classes
Shamindra Shrotriya
Matey Neykov
31
2
0
20 Oct 2022
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
ISDE : Independence Structure Density Estimation
ISDE : Independence Structure Density Estimation
L. Pujol
22
1
0
18 Mar 2022
Multivariate Trend Filtering for Lattice Data
Multivariate Trend Filtering for Lattice Data
Veeranjaneyulu Sadhanala
Yu 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 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
27
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
Total variation multiscale estimators for linear inverse problems
Total variation multiscale estimators for linear inverse problems
Miguel del Alamo
Axel Munk
32
6
0
21 May 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
11
13
0
16 May 2019
Adaptation in multivariate log-concave density estimation
Adaptation in multivariate log-concave density estimation
Oliver Y. Feng
Adityanand Guntuboyina
Arlene K. H. Kim
R. Samworth
22
13
0
30 Dec 2018
Nonparametric Density Estimation under Adversarial Losses
Nonparametric Density Estimation under Adversarial Losses
Shashank Singh
Ananya Uppal
Boyue Li
Chun-Liang Li
Manzil Zaheer
Barnabás Póczós
GAN
29
56
0
22 May 2018
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
21
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
13
5
0
31 Mar 2016
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
37
36
0
03 Mar 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
50
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
56
39
0
28 Dec 2013
On Bayesian supremum norm contraction rates
On Bayesian supremum norm contraction rates
I. Castillo
78
75
0
05 Apr 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
49
8
0
26 Oct 2012
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
1