ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1303.7152
  4. Cited By
Anti-concentration and honest, adaptive confidence bands
v1v2v3v4 (latest)

Anti-concentration and honest, adaptive confidence bands

28 March 2013
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
ArXiv (abs)PDFHTML

Papers citing "Anti-concentration and honest, adaptive confidence bands"

50 / 80 papers shown
Robust high-dimensional Gaussian and bootstrap approximations for
  trimmed sample means
Robust high-dimensional Gaussian and bootstrap approximations for trimmed sample means
Lucas Resende
332
2
0
29 Oct 2024
Robust Max Statistics for High-Dimensional Inference
Robust Max Statistics for High-Dimensional Inference
Mingshuo Liu
Miles E. Lopes
277
2
0
25 Sep 2024
Tuning parameter selection in econometrics
Tuning parameter selection in econometrics
Denis Chetverikov
325
4
0
05 May 2024
Conservative Inference for Counterfactuals
Conservative Inference for Counterfactuals
Sivaraman Balakrishnan
Edward H. Kennedy
Larry Wasserman
278
11
0
19 Oct 2023
Anti-concentration of Suprema of Gaussian Processes and Gaussian Order
  Statistics
Anti-concentration of Suprema of Gaussian Processes and Gaussian Order Statistics
Alexander Giessing
339
3
0
18 Oct 2023
Scalable Statistical Inference in Non-parametric Least Squares
Scalable Statistical Inference in Non-parametric Least Squares
Meimei Liu
Zuofeng Shang
Yun Yang
197
0
0
02 Oct 2023
A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
Alexander Giessing
Jianqing Fan
275
2
0
03 Sep 2023
Uniform Confidence Band for Optimal Transport Map on One-Dimensional
  Data
Uniform Confidence Band for Optimal Transport Map on One-Dimensional DataElectronic Journal of Statistics (EJS), 2023
Donlapark Ponnoprat
Ryotaro Okano
Masaaki Imaizumi
OT
305
2
0
18 Jul 2023
Spectral bootstrap confidence bands for Lévy-driven moving average
  processes
Spectral bootstrap confidence bands for Lévy-driven moving average processes
Denis Belomestny
E. Ivanova
T. Orlova
152
0
0
12 Nov 2022
Yurinskii's Coupling for Martingales
Yurinskii's Coupling for Martingales
M. D. Cattaneo
Ricardo P. Masini
W. Underwood
310
8
0
01 Oct 2022
Bump hunting through density curvature features
Bump hunting through density curvature featuresTest (Madrid) (TM), 2022
José E. Chacón
Javier Fernández Serrano
379
1
0
30 Jul 2022
High-dimensional Data Bootstrap
High-dimensional Data BootstrapAnnual Review of Statistics and Its Application (ARSIA), 2022
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
379
49
0
19 May 2022
Boundary Adaptive Local Polynomial Conditional Density Estimators
Boundary Adaptive Local Polynomial Conditional Density EstimatorsBernoulli (Bernoulli), 2022
M. D. Cattaneo
Rajita Chandak
Michael Jansson
Xinwei Ma
510
11
0
21 Apr 2022
Uniform Inference for Kernel Density Estimators with Dyadic Data
Uniform Inference for Kernel Density Estimators with Dyadic DataJournal of the American Statistical Association (JASA), 2022
M. D. Cattaneo
Yingjie Feng
W. Underwood
581
11
0
16 Jan 2022
Post-Regularization Confidence Bands for Ordinary Differential Equations
Post-Regularization Confidence Bands for Ordinary Differential EquationsJournal of machine learning research (JMLR), 2021
Zhou Yu
Lexin Li
184
3
0
24 Oct 2021
Limit Distribution Theory for the Smooth 1-Wasserstein Distance with
  Applications
Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications
Ritwik Sadhu
Ziv Goldfeld
Kengo Kato
359
10
0
28 Jul 2021
Deeply-Debiased Off-Policy Interval Estimation
Deeply-Debiased Off-Policy Interval EstimationInternational Conference on Machine Learning (ICML), 2021
C. Shi
Runzhe Wan
Victor Chernozhukov
R. Song
OffRL
284
43
0
10 May 2021
Estimating the Long-Term Effects of Novel Treatments
Estimating the Long-Term Effects of Novel TreatmentsNeural Information Processing Systems (NeurIPS), 2021
Keith Battocchi
E. Dillon
Maggie Hei
Greg Lewis
Miruna Oprescu
Vasilis Syrgkanis
CML
298
12
0
15 Mar 2021
Orthogonalized Kernel Debiased Machine Learning for Multimodal Data
  Analysis
Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis
Xiaowu Dai
Lexin Li
289
19
0
12 Mar 2021
Simple Adaptive Estimation of Quadratic Functionals in Nonparametric IV
  Models
Simple Adaptive Estimation of Quadratic Functionals in Nonparametric IV Models
C. Breunig
Xiaohong Chen
213
1
0
28 Jan 2021
Multivariate Smoothing via the Fourier Integral Theorem and Fourier
  Kernel
Multivariate Smoothing via the Fourier Integral Theorem and Fourier Kernel
Nhat Ho
S. Walker
239
10
0
28 Dec 2020
Local Regression Distribution Estimators
Local Regression Distribution Estimators
M. D. Cattaneo
Michael Jansson
Xinwei Ma
326
39
0
30 Sep 2020
Inference for high-dimensional exchangeable arrays
Inference for high-dimensional exchangeable arraysJournal of the American Statistical Association (JASA), 2020
Harold D. Chiang
Kengo Kato
Yuya Sasaki
488
19
0
10 Sep 2020
Simultaneous inference for Berkson errors-in-variables regression under
  fixed design
Simultaneous inference for Berkson errors-in-variables regression under fixed designAnnals of the Institute of Statistical Mathematics (AISM), 2020
K. Proksch
N. Bissantz
H. Holzmann
345
0
0
02 Sep 2020
Inference for parameters identified by conditional moment restrictions
  using a generalized Bierens maximum statistic
Inference for parameters identified by conditional moment restrictions using a generalized Bierens maximum statisticReview of Economics and Statistics (REStat), 2020
Xiaohong Chen
S. Lee
M. Seo
Myung-Unn Song
226
0
0
25 Aug 2020
Unsupervised non-parametric change point detection in quasi-periodic
  signals
Unsupervised non-parametric change point detection in quasi-periodic signalsInternational Conference on Statistical and Scientific Database Management (SSDBM), 2020
N. Shvetsov
N. Buzun
Dmitry V. Dylov
274
10
0
07 Feb 2020
Improved Central Limit Theorem and bootstrap approximations in high
  dimensions
Improved Central Limit Theorem and bootstrap approximations in high dimensionsAnnals of Statistics (Ann. Stat.), 2019
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
Yuta Koike
330
93
0
22 Dec 2019
Estimating and Inferring the Maximum Degree of Stimulus-Locked
  Time-Varying Brain Connectivity Networks
Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity NetworksBiometrics (Biometrics), 2019
Kean Ming Tan
Junwei Lu
Tong Zhang
Han Liu
191
1
0
28 May 2019
Nonparametric Pattern-Mixture Models for Inference with Missing Data
Nonparametric Pattern-Mixture Models for Inference with Missing Data
Yen-Chi Chen
Mauricio Sadinle
156
6
0
24 Apr 2019
Asymptotic confidence sets for the jump curve in bivariate regression
  problems
Asymptotic confidence sets for the jump curve in bivariate regression problems
Viktor Bengs
Matthias Eulert
H. Holzmann
105
3
0
23 Mar 2019
Robust Inference via Multiplier Bootstrap
Robust Inference via Multiplier BootstrapAnnals of Statistics (Ann. Stat.), 2019
Xi Chen
Wen-Xin Zhou
252
36
0
18 Mar 2019
On Binscatter
On Binscatter
M. D. Cattaneo
Richard K. Crump
M. Farrell
Yingjie Feng
393
160
0
25 Feb 2019
Adaptation Bounds for Confidence Bands under Self-Similarity
Adaptation Bounds for Confidence Bands under Self-Similarity
Timothy B. Armstrong
260
1
0
23 Oct 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
512
6
0
24 Aug 2018
Improved estimation of the extreme value index using related variables
Improved estimation of the extreme value index using related variables
H. Ahmed
J. Einmahl
116
4
0
17 Jul 2018
Bootstrapping Max Statistics in High Dimensions: Near-Parametric Rates
  Under Weak Variance Decay and Application to Functional and Multinomial Data
Bootstrapping Max Statistics in High Dimensions: Near-Parametric Rates Under Weak Variance Decay and Application to Functional and Multinomial Data
Miles E. Lopes
Zhenhua Lin
Hans-Georg Mueller
427
8
0
12 Jul 2018
Subvector Inference in Partially Identified Models with Many Moment
  Inequalities
Subvector Inference in Partially Identified Models with Many Moment Inequalities
A. Belloni
Federico A. Bugni
Victor Chernozhukov
246
15
0
29 Jun 2018
High-Dimensional Econometrics and Regularized GMM
High-Dimensional Econometrics and Regularized GMM
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
409
69
0
05 Jun 2018
Large Sample Properties of Partitioning-Based Series Estimators
Large Sample Properties of Partitioning-Based Series Estimators
M. D. Cattaneo
M. Farrell
Yingjie Feng
404
59
0
13 Apr 2018
Posterior Contraction and Credible Sets for Filaments of Regression
  Functions
Posterior Contraction and Credible Sets for Filaments of Regression FunctionsElectronic Journal of Statistics (EJS), 2018
Wei Li
S. Ghosal
373
5
0
11 Mar 2018
On frequentist coverage errors of Bayesian credible sets in moderately
  high dimensions
On frequentist coverage errors of Bayesian credible sets in moderately high dimensions
Keisuke Yano
Kengo Kato
354
7
0
09 Mar 2018
Gaussian approximation of maxima of Wiener functionals and its
  application to high-frequency data
Gaussian approximation of maxima of Wiener functionals and its application to high-frequency data
Yuta Koike
517
15
0
01 Sep 2017
Frequentist coverage and sup-norm convergence rate in Gaussian process
  regression
Frequentist coverage and sup-norm convergence rate in Gaussian process regression
Yun Yang
A. Bhattacharya
D. Pati
276
58
0
16 Aug 2017
Jackknife multiplier bootstrap: finite sample approximations to the
  $U$-process supremum with applications
Jackknife multiplier bootstrap: finite sample approximations to the UUU-process supremum with applicationsProbability theory and related fields (PTRF), 2017
Xiaohui Chen
Kengo Kato
423
47
0
09 Aug 2017
Bootstrap confidence bands for spectral estimation of Lévy densities
  under high-frequency observations
Bootstrap confidence bands for spectral estimation of Lévy densities under high-frequency observations
Kengo Kato
Daisuke Kurisu
517
15
0
01 May 2017
Perturbation Bootstrap in Adaptive Lasso
Perturbation Bootstrap in Adaptive Lasso
Debraj Das
Karl B. Gregory
S. Lahiri
381
24
0
09 Mar 2017
Confidence Bands for Coefficients in High Dimensional Linear Models with
  Error-in-variables
Confidence Bands for Coefficients in High Dimensional Linear Models with Error-in-variables
A. Belloni
Victor Chernozhukov
A. Kaul
399
19
0
01 Mar 2017
Nonparametric Inference via Bootstrapping the Debiased Estimator
Nonparametric Inference via Bootstrapping the Debiased EstimatorElectronic Journal of Statistics (EJS), 2017
Yen-Chi Chen
Yen-Chi Chen
345
22
0
22 Feb 2017
Uniform confidence bands for nonparametric errors-in-variables
  regression
Uniform confidence bands for nonparametric errors-in-variables regressionJournal of Econometrics (JE), 2017
Kengo Kato
Yuya Sasaki
530
23
0
11 Feb 2017
A simple method to construct confidence bands in functional linear
  regression
A simple method to construct confidence bands in functional linear regressionStatistica sinica (SS), 2016
Masaaki Imaizumi
Kengo Kato
430
14
0
22 Dec 2016
12
Next
Page 1 of 2