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Global testing under sparse alternatives: ANOVA, multiple comparisons
  and the higher criticism
v1v2 (latest)

Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism

8 July 2010
E. Arias-Castro
Emmanuel J. Candès
Y. Plan
ArXiv (abs)PDFHTML

Papers citing "Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism"

50 / 84 papers shown
Can we spot a fake?
Can we spot a fake?
S. Mendelson
G. Paouris
Roman Vershynin
141
2
0
24 Oct 2024
Two-Sample Testing with a Graph-Based Total Variation Integral
  Probability Metric
Two-Sample Testing with a Graph-Based Total Variation Integral Probability Metric
Alden Green
Sivaraman Balakrishnan
Robert Tibshirani
227
1
0
24 Sep 2024
Thresholding the higher criticism test statistics for optimality in a
  heterogeneous setting
Thresholding the higher criticism test statistics for optimality in a heterogeneous setting
Hock Peng Chan
145
0
0
07 Nov 2023
Detecting rare and weak deviations of non-proportional hazard in
  survival analysis
Detecting rare and weak deviations of non-proportional hazard in survival analysis
Ben Galili
A. Kipnis
Z. Yakhini
209
0
0
01 Oct 2023
Adaptive Testing for High-dimensional Data
Adaptive Testing for High-dimensional DataJournal of the American Statistical Association (JASA), 2023
Yangfan Zhang
Runmin Wang
Xiaofeng Shao
195
2
0
14 Mar 2023
Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
Statistical-Computational Tradeoffs in Mixed Sparse Linear RegressionAnnual Conference Computational Learning Theory (COLT), 2023
Gabriel Arpino
R. Venkataramanan
252
7
0
03 Mar 2023
Testing Many Zero Restrictions in a High Dimensional Linear Regression
  Setting
Testing Many Zero Restrictions in a High Dimensional Linear Regression Setting
Jonathan B. Hill
304
2
0
22 Jan 2023
Off-the-grid prediction and testing for mixtures of translated features
Off-the-grid prediction and testing for mixtures of translated featuresElectronic Journal of Statistics (EJS), 2022
C. Butucea
Jean-François Delmas
A. Dutfoy
Clément Hardy
69
0
0
02 Dec 2022
Residual Permutation Test for High-Dimensional Regression Coefficient
  Testing
Residual Permutation Test for High-Dimensional Regression Coefficient TestingAnnals of Statistics (Ann. Stat.), 2022
Kaiyue Wen
Tengyao Wang
Yuhao Wang
211
2
0
29 Nov 2022
Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models:
  Sharp Minimax Rates
Sparse Signal Detection in Heteroscedastic Gaussian Sequence Models: Sharp Minimax Rates
J. Chhor
Rajarshi Mukherjee
Subhabrata Sen
380
6
0
15 Nov 2022
Optimal Change-point Testing for High-dimensional Linear Models with
  Temporal Dependence
Optimal Change-point Testing for High-dimensional Linear Models with Temporal Dependence
Daren Wang
Zifeng Zhao
276
7
0
08 May 2022
High-dimensional variable selection with heterogeneous signals: A
  precise asymptotic perspective
High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspectiveBernoulli (Bernoulli), 2022
Saptarshi Roy
Ambuj Tewari
Ziwei Zhu
395
6
0
05 Jan 2022
Optimal partition recovery in general graphs
Optimal partition recovery in general graphsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Yi Yu
Oscar Hernan Madrid Padilla
Alessandro Rinaldo
220
2
0
21 Oct 2021
Power-enhanced simultaneous test of high-dimensional mean vectors and
  covariance matrices with application to gene-set testing
Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing
Xiufan Yu
Danning Li
Lingzhou Xue
Runze Li
705
26
0
30 Sep 2021
Sharp multiple testing boundary for sparse sequences
Sharp multiple testing boundary for sparse sequences
Kweku Abraham
I. Castillo
Étienne Roquain
169
9
0
28 Sep 2021
Sparse Uniformity Testing
Sparse Uniformity Testing
B. Bhattacharya
Rajarshi Mukherjee
190
5
0
22 Sep 2021
Superconsistency of Tests in High Dimensions
Superconsistency of Tests in High DimensionsEconometric Theory (ET), 2021
Anders Bredahl Kock
David Preinerstorfer
357
0
0
07 Jun 2021
Lattice partition recovery with dyadic CART
Lattice partition recovery with dyadic CARTNeural Information Processing Systems (NeurIPS), 2021
Oscar Hernan Madrid Padilla
Yi Yu
Alessandro Rinaldo
375
5
0
27 May 2021
Multiple Support Recovery Using Very Few Measurements Per Sample
Multiple Support Recovery Using Very Few Measurements Per SampleIEEE Transactions on Signal Processing (IEEE TSP), 2021
Lekshmi Ramesh
C. Murthy
Himanshu Tyagi
161
5
0
20 May 2021
Consistency of invariance-based randomization tests
Consistency of invariance-based randomization testsAnnals of Statistics (Ann. Stat.), 2021
Guang Cheng
442
22
0
25 Apr 2021
Estimating The Proportion of Signal Variables Under Arbitrary Covariance
  Dependence
Estimating The Proportion of Signal Variables Under Arbitrary Covariance DependenceElectronic Journal of Statistics (EJS), 2021
X. J. Jeng
127
5
0
17 Feb 2021
The Impossibility Region for Detecting Sparse Mixtures using the Higher
  Criticism
The Impossibility Region for Detecting Sparse Mixtures using the Higher CriticismThe Annals of Applied Probability (Ann. Appl. Probab.), 2021
D. Donoho
A. Kipnis
189
5
0
15 Feb 2021
Testing (Infinitely) Many Zero Restrictions
Testing (Infinitely) Many Zero Restrictions
Jonathan B. Hill
337
0
0
03 Nov 2020
Estimation of the $l_2$-norm and testing in sparse linear regression
  with unknown variance
Estimation of the l2l_2l2​-norm and testing in sparse linear regression with unknown variance
Alexandra Carpentier
O. Collier
L. Comminges
Alexandre B. Tsybakov
Yuhao Wang
180
10
0
26 Oct 2020
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
439
3
0
07 Oct 2020
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type
  statistics
Fast calculation of p-values for one-sided Kolmogorov-Smirnov type statisticsComputational Statistics & Data Analysis (CSDA), 2020
Amit Moscovich
267
11
0
10 Sep 2020
Anomaly Detection for a Large Number of Streams: A Permutation-Based
  Higher Criticism Approach
Anomaly Detection for a Large Number of Streams: A Permutation-Based Higher Criticism ApproachJournal of the American Statistical Association (JASA), 2020
Ivo V. Stoepker
R. Castro
E. Arias-Castro
Edwin van den Heuvel
183
8
0
07 Sep 2020
Sparse Confidence Sets for Normal Mean Models
Sparse Confidence Sets for Normal Mean Models
Y. Ning
Guang Cheng
247
2
0
17 Aug 2020
Higher Criticism to Compare Two Large Frequency Tables, with sensitivity
  to Possible Rare and Weak Differences
Higher Criticism to Compare Two Large Frequency Tables, with sensitivity to Possible Rare and Weak Differences
D. Donoho
A. Kipnis
459
18
0
03 Jul 2020
Weak Signal Inclusion Under Sparsity and Dependence
Weak Signal Inclusion Under Sparsity and Dependence
X. J. Jeng
Yifei Hu
265
1
0
28 Jun 2020
Optimality of the max test for detecting sparse signals with Gaussian or
  heavier tail
Optimality of the max test for detecting sparse signals with Gaussian or heavier tail
Xiao Li
William Fithian
141
1
0
19 Jun 2020
On Minimax Exponents of Sparse Testing
On Minimax Exponents of Sparse Testing
Rajarshi Mukherjee
S. Sen
176
7
0
01 Mar 2020
Higher Criticism for Discriminating Word-Frequency Tables and Testing
  Authorship
Higher Criticism for Discriminating Word-Frequency Tables and Testing AuthorshipAnnals of Applied Statistics (AOAS), 2019
A. Kipnis
554
10
0
30 Oct 2019
Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy
  Rank-1 Setting
Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 SettingElectronic Journal of Statistics (EJS), 2019
Arvind Prasadan
R. Nadakuditi
D. Paul
271
0
0
22 May 2019
Honest confidence sets for high-dimensional regression by projection and
  shrinkage
Honest confidence sets for high-dimensional regression by projection and shrinkageJournal of the American Statistical Association (JASA), 2019
Kun Zhou
Ker-Chau Li
Qing Zhou
398
4
0
01 Feb 2019
Optimal Sparsity Testing in Linear regression Model
Optimal Sparsity Testing in Linear regression Model
Alexandra Carpentier
Nicolas Verzélen
202
10
0
25 Jan 2019
Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary
  Least Squares
Moderate-Dimensional Inferences on Quadratic Functionals in Ordinary Least Squares
Xiao Guo
Guang Cheng
162
7
0
02 Oct 2018
Cauchy combination test: a powerful test with analytic p-value
  calculation under arbitrary dependency structures
Cauchy combination test: a powerful test with analytic p-value calculation under arbitrary dependency structures
Yaowu Liu
Jun Xie
215
397
0
27 Aug 2018
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models
Optimality and Sub-optimality of PCA I: Spiked Random Matrix ModelsAnnals of Statistics (Ann. Stat.), 2018
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
354
121
0
02 Jul 2018
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
250
74
0
16 Jun 2018
Global testing under the sparse alternatives for single index models
Global testing under the sparse alternatives for single index models
Q. Lin
Zhigen Zhao
Jun S. Liu
151
0
0
04 May 2018
Variable Selection via Adaptive False Negative Control in Linear
  Regression
Variable Selection via Adaptive False Negative Control in Linear RegressionElectronic Journal of Statistics (EJS), 2018
X. J. Jeng
Xiongzhi Chen
258
9
0
20 Apr 2018
Minimax rate of testing in sparse linear regression
Minimax rate of testing in sparse linear regression
Alexandra Carpentier
O. Collier
L. Comminges
Alexandre B. Tsybakov
Yuhao Wang
199
25
0
17 Apr 2018
Signal detection via Phi-divergences for general mixtures
Signal detection via Phi-divergences for general mixtures
Marc Ditzhaus
151
7
0
17 Mar 2018
Statistical and Computational Limits for Sparse Matrix Detection
Statistical and Computational Limits for Sparse Matrix Detection
T. Tony Cai
Yihong Wu
171
20
0
01 Jan 2018
Sparse High-Dimensional Linear Regression. Algorithmic Barriers and a
  Local Search Algorithm
Sparse High-Dimensional Linear Regression. Algorithmic Barriers and a Local Search Algorithm
D. Gamarnik
Ilias Zadik
226
22
0
14 Nov 2017
Detectability of nonparametric signals: higher criticism versus
  likelihood ratio
Detectability of nonparametric signals: higher criticism versus likelihood ratio
Marc Ditzhaus
A. Janssen
182
3
0
21 Sep 2017
Testing Degree Corrections in Stochastic Block Models
Testing Degree Corrections in Stochastic Block Models
Rajarshi Mukherjee
S. Sen
155
4
0
22 May 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
229
31
0
01 Mar 2017
Distributions and Statistical Power of Optimal Signal-Detection Methods
  In Finite Cases
Distributions and Statistical Power of Optimal Signal-Detection Methods In Finite Cases
Hong Zhang
Jiashun Jin
Zheyang Wu
130
3
0
23 Feb 2017
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