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. 1209.1508
  4. Cited By
Confidence sets in sparse regression

Confidence sets in sparse regression

7 September 2012
Richard Nickl
Sara van de Geer
ArXivPDFHTML

Papers citing "Confidence sets in sparse regression"

31 / 31 papers shown
Title
Transfer Learning for Contextual Multi-armed Bandits
Transfer Learning for Contextual Multi-armed Bandits
Changxiao Cai
T. Tony Cai
Hongzhe Li
47
16
0
22 Nov 2022
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models
Yanmei Shi
Zhiruo Li
Q. Zhang
27
0
0
17 Oct 2022
Finite- and Large- Sample Inference for Model and Coefficients in
  High-dimensional Linear Regression with Repro Samples
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
P. Wang
Min-ge Xie
Linjun Zhang
45
5
0
19 Sep 2022
Are Latent Factor Regression and Sparse Regression Adequate?
Are Latent Factor Regression and Sparse Regression Adequate?
Jianqing Fan
Zhipeng Lou
Mengxin Yu
CML
54
23
0
02 Mar 2022
Sharp multiple testing boundary for sparse sequences
Sharp multiple testing boundary for sparse sequences
Kweku Abraham
I. Castillo
Étienne Roquain
33
6
0
28 Sep 2021
High dimensional asymptotics of likelihood ratio tests in the Gaussian
  sequence model under convex constraints
High dimensional asymptotics of likelihood ratio tests in the Gaussian sequence model under convex constraints
Q. Han
B. Sen
Yandi Shen
35
3
0
07 Oct 2020
Sparse Confidence Sets for Normal Mean Models
Sparse Confidence Sets for Normal Mean Models
Y. Ning
Guang Cheng
34
2
0
17 Aug 2020
Optimal Statistical Inference for Individualized Treatment Effects in
  High-dimensional Models
Optimal Statistical Inference for Individualized Treatment Effects in High-dimensional Models
Tianxi Cai
Tony Cai
Zijian Guo
CML
LM&MA
26
13
0
29 Apr 2019
Semi-supervised Inference for Explained Variance in High-dimensional
  Linear Regression and Its Applications
Semi-supervised Inference for Explained Variance in High-dimensional Linear Regression and Its Applications
T. Tony Cai
Zijian Guo
26
59
0
16 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
33
67
0
05 Jun 2018
Hypothesis Testing For Densities and High-Dimensional Multinomials:
  Sharp Local Minimax Rates
Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates
Sivaraman Balakrishnan
Larry A. Wasserman
21
50
0
30 Jun 2017
Convergence rates of least squares regression estimators with
  heavy-tailed errors
Convergence rates of least squares regression estimators with heavy-tailed errors
Q. Han
J. Wellner
21
45
0
07 Jun 2017
A Flexible Framework for Hypothesis Testing in High-dimensions
A Flexible Framework for Hypothesis Testing in High-dimensions
Adel Javanmard
Jason D. Lee
39
29
0
26 Apr 2017
Adaptive estimation of the sparsity in the Gaussian vector model
Adaptive estimation of the sparsity in the Gaussian vector model
Alexandra Carpentier
Nicolas Verzélen
26
29
0
01 Mar 2017
Linear Hypothesis Testing in Dense High-Dimensional Linear Models
Linear Hypothesis Testing in Dense High-Dimensional Linear Models
Yinchu Zhu
Jelena Bradic
38
84
0
10 Oct 2016
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
33
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
35
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
38
73
0
07 Jul 2016
Needles and straw in a haystack: robust confidence for possibly sparse
  sequences
Needles and straw in a haystack: robust confidence for possibly sparse sequences
E. Belitser
N. Nurushev
32
25
0
05 Nov 2015
A Unified Theory of Confidence Regions and Testing for High Dimensional
  Estimating Equations
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations
Matey Neykov
Y. Ning
Jun S. Liu
Han Liu
37
77
0
30 Oct 2015
Uniform Asymptotic Inference and the Bootstrap After Model Selection
Uniform Asymptotic Inference and the Bootstrap After Model Selection
Robert Tibshirani
Alessandro Rinaldo
Robert Tibshirani
Larry A. Wasserman
43
104
0
20 Jun 2015
Confidence Intervals for High-Dimensional Linear Regression: Minimax
  Rates and Adaptivity
Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity
T. Tony Cai
Zijian Guo
43
184
0
18 Jun 2015
Uncertainty Quantification for Matrix Compressed Sensing and Quantum
  Tomography Problems
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems
Alexandra Carpentier
Jens Eisert
David Gross
Richard Nickl
25
19
0
13 Apr 2015
Implementable confidence sets in high dimensional regression
Implementable confidence sets in high dimensional regression
Alexandra Carpentier
37
4
0
19 Jan 2015
High Dimensional Expectation-Maximization Algorithm: Statistical
  Optimization and Asymptotic Normality
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang
Quanquan Gu
Y. Ning
Han Liu
43
53
0
30 Dec 2014
A General Framework for Robust Testing and Confidence Regions in
  High-Dimensional Quantile Regression
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression
Tianqi Zhao
Mladen Kolar
Han Liu
39
43
0
30 Dec 2014
Confidence intervals for high-dimensional inverse covariance estimation
Confidence intervals for high-dimensional inverse covariance estimation
Jana Janková
Sara van de Geer
78
185
0
26 Mar 2014
On the uniform convergence of empirical norms and inner products, with
  application to causal inference
On the uniform convergence of empirical norms and inner products, with application to causal inference
Sara van de Geer
45
37
0
21 Oct 2013
Testing the regularity of a smooth signal
Testing the regularity of a smooth signal
Alexandra Carpentier
40
14
0
09 Apr 2013
On asymptotically optimal confidence regions and tests for
  high-dimensional models
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer
Peter Buhlmann
Yaácov Ritov
Ruben Dezeure
48
1,125
0
03 Mar 2013
Confidence Sets Based on Sparse Estimators Are Necessarily Large
Confidence Sets Based on Sparse Estimators Are Necessarily Large
B. M. Potscher
106
41
0
07 Nov 2007
1