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. 1002.4801
  4. Cited By
Confidence bands in density estimation

Confidence bands in density estimation

25 February 2010
Evarist Giné
Richard Nickl
ArXivPDFHTML

Papers citing "Confidence bands in density estimation"

27 / 27 papers shown
Title
Smoothness Estimation for Whittle-Matérn Processes on Closed
  Riemannian Manifolds
Smoothness Estimation for Whittle-Matérn Processes on Closed Riemannian Manifolds
Moritz Korte-Stapff
Toni Karvonen
Eric Moulines
29
0
0
31 Dec 2023
Optimal regularized hypothesis testing in statistical inverse problems
Optimal regularized hypothesis testing in statistical inverse problems
Remo Kretschmann
D. Wachsmuth
Frank Werner
32
3
0
25 Dec 2022
Transfer Learning for Contextual Multi-armed Bandits
Transfer Learning for Contextual Multi-armed Bandits
Changxiao Cai
T. Tony Cai
Hongzhe Li
39
16
0
22 Nov 2022
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process
  Interpolation
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation
Toni Karvonen
24
1
0
10 Mar 2022
Uniform Inference for Kernel Density Estimators with Dyadic Data
Uniform Inference for Kernel Density Estimators with Dyadic Data
M. D. Cattaneo
Yingjie Feng
W. Underwood
21
7
0
16 Jan 2022
Nearly optimal central limit theorem and bootstrap approximations in
  high dimensions
Nearly optimal central limit theorem and bootstrap approximations in high dimensions
Victor Chernozhukov
Denis Chetverikov
Yuta Koike
21
42
0
17 Dec 2020
Local Regression Distribution Estimators
Local Regression Distribution Estimators
M. D. Cattaneo
Michael Jansson
Xinwei Ma
32
30
0
30 Sep 2020
Simultaneous inference for Berkson errors-in-variables regression under
  fixed design
Simultaneous inference for Berkson errors-in-variables regression under fixed design
K. Proksch
N. Bissantz
H. Holzmann
21
0
0
02 Sep 2020
Distributed function estimation: adaptation using minimal communication
Distributed function estimation: adaptation using minimal communication
Botond Szabó
Harry Van Zanten
35
13
0
28 Mar 2020
Asymptotic frequentist coverage properties of Bayesian credible sets for
  sieve priors
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors
Judith Rousseau
Botond Szabó
24
22
0
16 Sep 2016
Adaptive confidence sets for matrix completion
Adaptive confidence sets for matrix completion
Alexandra Carpentier
Olga Klopp
Matthias Loffler
Richard Nickl
32
27
0
17 Aug 2016
Uncertainty quantification for the horseshoe
Uncertainty quantification for the horseshoe
S. V. D. Pas
Botond Szabó
A. van der Vaart
33
72
0
07 Jul 2016
Inference on covariance operators via concentration inequalities:
  k-sample tests, classification, and clustering via Rademacher complexities
Inference on covariance operators via concentration inequalities: k-sample tests, classification, and clustering via Rademacher complexities
A. B. Kashlak
J. Aston
Richard Nickl
16
10
0
21 Apr 2016
Optimal inference in a class of regression models
Optimal inference in a class of regression models
Timothy B. Armstrong
M. Kolesár
24
125
0
19 Nov 2015
Adaptive Bayesian credible sets in regression with a Gaussian process
  prior
Adaptive Bayesian credible sets in regression with a Gaussian process prior
S. Sniekers
A. van der Vaart
17
46
0
29 Apr 2015
Implementable confidence sets in high dimensional regression
Implementable confidence sets in high dimensional regression
Alexandra Carpentier
37
4
0
19 Jan 2015
Adaptive confidence bands for Markov chains and diffusions: Estimating
  the invariant measure and the drift
Adaptive confidence bands for Markov chains and diffusions: Estimating the invariant measure and the drift
Jakob Sohl
Mathias Trabs
24
14
0
22 Dec 2014
Adaptive empirical Bayesian smoothing splines
Adaptive empirical Bayesian smoothing splines
Paulo Serra
Tatyana Krivobokova
18
21
0
25 Nov 2014
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures
On the Bernstein-von Mises phenomenon for nonparametric Bayes procedures
I. Castillo
Richard Nickl
35
130
0
09 Oct 2013
Adaptive and minimax optimal estimation of the tail coefficient
Adaptive and minimax optimal estimation of the tail coefficient
Alexandra Carpentier
Arlene K. H. Kim
32
16
0
10 Sep 2013
Testing the regularity of a smooth signal
Testing the regularity of a smooth signal
Alexandra Carpentier
35
14
0
09 Apr 2013
Anti-concentration and honest, adaptive confidence bands
Anti-concentration and honest, adaptive confidence bands
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
35
173
0
28 Mar 2013
Adaptive confidence bands in the nonparametric fixed design regression
  model
Adaptive confidence bands in the nonparametric fixed design regression model
Pierre-Yves Massé
William Meiniel
34
2
0
17 Jul 2012
Confidence bands for multivariate and time dependent inverse regression
  models
Confidence bands for multivariate and time dependent inverse regression models
K. Proksch
N. Bissantz
Holger Dette
26
18
0
13 Jun 2012
On adaptive inference and confidence bands
On adaptive inference and confidence bands
M. Hoffmann
Richard Nickl
55
82
0
23 Feb 2012
Adaptive confidence sets in L^2
Adaptive confidence sets in L^2
Adam D. Bull
Richard Nickl
45
48
0
23 Nov 2011
Uniform limit theorems for wavelet density estimators
Uniform limit theorems for wavelet density estimators
Evarist Giné
Richard Nickl
81
82
0
09 May 2008
1