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Asymptotic power of sphericity tests for high-dimensional data

Asymptotic power of sphericity tests for high-dimensional data

20 June 2013
A. Onatski
Marcelo J. Moreira
Marc Hallin
ArXiv (abs)PDFHTML

Papers citing "Asymptotic power of sphericity tests for high-dimensional data"

48 / 48 papers shown
Title
High-Dimensional Canonical Correlation Analysis
High-Dimensional Canonical Correlation Analysis
A. Bykhovskaya
V. Gorin
81
2
0
28 Jun 2023
A CLT for the LSS of large dimensional sample covariance matrices with
  diverging spikes
A CLT for the LSS of large dimensional sample covariance matrices with diverging spikes
Zhijun Liu
Jiang Hu
Z. Bai
Haiyan Song
43
7
0
12 Dec 2022
Minimax Rates for Robust Community Detection
Minimax Rates for Robust Community Detection
Allen Liu
Ankur Moitra
64
14
0
25 Jul 2022
Asymptotic Normality of Log Likelihood Ratio and Fundamental Limit of
  the Weak Detection for Spiked Wigner Matrices
Asymptotic Normality of Log Likelihood Ratio and Fundamental Limit of the Weak Detection for Spiked Wigner Matrices
Hye Won Chung
Jihoon Lee
J. Lee
31
3
0
02 Mar 2022
Distribution of the Scaled Condition Number of Single-spiked Complex
  Wishart Matrices
Distribution of the Scaled Condition Number of Single-spiked Complex Wishart Matrices
Pasan Dissanayake
Prathapasinghe Dharmawansa
Yang Chen
24
1
0
11 May 2021
Detection of Signal in the Spiked Rectangular Models
Detection of Signal in the Spiked Rectangular Models
Ji Hyung Jung
Hye Won Chung
J. Lee
84
10
0
28 Apr 2021
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
Chen Lu
S. Sen
48
22
0
15 Nov 2020
Weak Detection in the Spiked Wigner Model with General Rank
Weak Detection in the Spiked Wigner Model with General Rank
Ji Hyung Jung
Hye Won Chung
J. Lee
59
14
0
16 Jan 2020
Subexponential-Time Algorithms for Sparse PCA
Subexponential-Time Algorithms for Sparse PCA
Yunzi Ding
Dmitriy Kunisky
Alexander S. Wein
Afonso S. Bandeira
172
62
0
26 Jul 2019
Asymptotic joint distribution of extreme eigenvalues and trace of large
  sample covariance matrix in a generalized spiked population model
Asymptotic joint distribution of extreme eigenvalues and trace of large sample covariance matrix in a generalized spiked population model
Zeng Li
Fang Han
Jianfeng Yao
37
20
0
23 Jun 2019
Rapid evaluation of the spectral signal detection threshold and
  Stieltjes transform
Rapid evaluation of the spectral signal detection threshold and Stieltjes transform
W. Leeb
70
7
0
26 Apr 2019
Adapting to Unknown Noise Distribution in Matrix Denoising
Adapting to Unknown Noise Distribution in Matrix Denoising
Andrea Montanari
Feng Ruan
Jun Yan
100
13
0
06 Oct 2018
Contextual Stochastic Block Models
Contextual Stochastic Block Models
Y. Deshpande
Andrea Montanari
Elchanan Mossel
S. Sen
166
159
0
23 Jul 2018
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models
Optimality and Sub-optimality of PCA I: Spiked Random Matrix Models
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
75
110
0
02 Jul 2018
Fundamental limits of detection in the spiked Wigner model
Fundamental limits of detection in the spiked Wigner model
A. Alaoui
Florent Krzakala
Michael I. Jordan
66
46
0
25 Jun 2018
Phase transitions in spiked matrix estimation: information-theoretic
  analysis
Phase transitions in spiked matrix estimation: information-theoretic analysis
Léo Miolane
71
19
0
12 Jun 2018
On the detection of low rank matrices in the high-dimensional regime
On the detection of low rank matrices in the high-dimensional regime
A. Chevreuil
P. Loubaton
24
1
0
13 Apr 2018
Complex energy landscapes in spiked-tensor and simple glassy models:
  ruggedness, arrangements of local minima and phase transitions
Complex energy landscapes in spiked-tensor and simple glassy models: ruggedness, arrangements of local minima and phase transitions
V. Ros
Gerard Ben Arous
Giulio Biroli
C. Cammarota
71
102
0
08 Apr 2018
Asymptotic normality and analysis of variance of log-likelihood ratios
  in spiked random matrix models
Asymptotic normality and analysis of variance of log-likelihood ratios in spiked random matrix models
Debapratim Banerjee
Zongming Ma
28
6
0
02 Apr 2018
High-dimensional covariance matrices in elliptical distributions with
  application to spherical test
High-dimensional covariance matrices in elliptical distributions with application to spherical test
Jiang Hu
Weiming Li
Zhi Liu
Wang Zhou
41
36
0
21 Mar 2018
Detection limits in the high-dimensional spiked rectangular model
Detection limits in the high-dimensional spiked rectangular model
A. Alaoui
Michael I. Jordan
67
20
0
20 Feb 2018
Phase transition in the spiked random tensor with Rademacher prior
Phase transition in the spiked random tensor with Rademacher prior
Wei-Kuo Chen
79
41
0
05 Dec 2017
Finite Size Corrections and Likelihood Ratio Fluctuations in the Spiked
  Wigner Model
Finite Size Corrections and Likelihood Ratio Fluctuations in the Spiked Wigner Model
A. Alaoui
Florent Krzakala
Michael I. Jordan
75
21
0
09 Oct 2017
Permutation methods for factor analysis and PCA
Permutation methods for factor analysis and PCA
Yan Sun
74
54
0
02 Oct 2017
Optimal prediction in the linearly transformed spiked model
Optimal prediction in the linearly transformed spiked model
Edgar Dobriban
W. Leeb
A. Singer
83
20
0
07 Sep 2017
Optimal hypothesis testing for stochastic block models with growing
  degrees
Optimal hypothesis testing for stochastic block models with growing degrees
Debapratim Banerjee
Zongming Ma
111
57
0
15 May 2017
Statistical limits of spiked tensor models
Statistical limits of spiked tensor models
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
86
80
0
22 Dec 2016
Optimality and Sub-optimality of PCA for Spiked Random Matrices and
  Synchronization
Optimality and Sub-optimality of PCA for Spiked Random Matrices and Synchronization
Amelia Perry
Alexander S. Wein
Afonso S. Bandeira
Ankur Moitra
130
59
0
19 Sep 2016
Testing in high-dimensional spiked models
Testing in high-dimensional spiked models
Iain M. Johnstone
A. Onatski
84
53
0
24 Sep 2015
The Spectral Norm of Random Inner-Product Kernel Matrices
The Spectral Norm of Random Inner-Product Kernel Matrices
Z. Fan
Andrea Montanari
205
47
0
19 Jul 2015
Optimal Two-Sided Tests for Instrumental Variables Regression with
  Heteroskedastic and Autocorrelated Errors
Optimal Two-Sided Tests for Instrumental Variables Regression with Heteroskedastic and Autocorrelated Errors
Humberto Moreira
Marcelo J. Moreira
40
39
0
25 May 2015
Testing uniformity on high-dimensional spheres against monotone
  rotationally symmetric alternatives
Testing uniformity on high-dimensional spheres against monotone rotationally symmetric alternatives
Christine Cutting
D. Paindaveine
Thomas Verdebout
57
23
0
07 Feb 2015
On the limitation of spectral methods: From the Gaussian hidden clique
  problem to rank one perturbations of Gaussian tensors
On the limitation of spectral methods: From the Gaussian hidden clique problem to rank one perturbations of Gaussian tensors
Andrea Montanari
Daniel Reichman
Ofer Zeitouni
104
89
0
22 Nov 2014
Local Asymptotic Normality of the spectrum of high-dimensional spiked
  F-ratios
Local Asymptotic Normality of the spectrum of high-dimensional spiked F-ratios
Prathapasinghe Dharmawansa
Iain M. Johnstone
A. Onatski
49
15
0
14 Nov 2014
Hypergeometric Functions of Matrix Arguments and Linear Statistics of
  Multi-Spiked Hermitian Matrix Models
Hypergeometric Functions of Matrix Arguments and Linear Statistics of Multi-Spiked Hermitian Matrix Models
Damien Passemier
M. Mckay
Yang Chen
105
6
0
03 Jun 2014
Joint density of eigenvalues in spiked multivariate models
Joint density of eigenvalues in spiked multivariate models
Prathapasinghe Dharmawansa
Iain M. Johnstone
90
8
0
02 Jun 2014
$L^2$ Asymptotics for High-Dimensional Data
L2L^2L2 Asymptotics for High-Dimensional Data
Mengyu Xu
Danna Zhang
Wei Biao Wu
87
8
0
28 May 2014
Asymptotic Linear Spectral Statistics for Spiked Hermitian Random Matrix
  Models
Asymptotic Linear Spectral Statistics for Spiked Hermitian Random Matrix Models
Damien Passemier
M. Mckay
Yang Chen
97
12
0
26 Feb 2014
High-dimensional tests for spherical location and spiked covariance
High-dimensional tests for spherical location and spiked covariance
Christophe Ley
D. Paindaveine
Thomas Verdebout
115
12
0
12 Feb 2014
On high-dimensional sign tests
On high-dimensional sign tests
D. Paindaveine
Thomas Verdebout
146
58
0
13 Nov 2013
Three Problems Related to the Eigenvalues of Complex Non-central Wishart
  Matrices with a Rank-1 Mean
Three Problems Related to the Eigenvalues of Complex Non-central Wishart Matrices with a Rank-1 Mean
Prathapasinghe Dharmawansa
79
3
0
27 Jun 2013
Central Limit Theorems for Classical Likelihood Ratio Tests for
  High-Dimensional Normal Distributions
Central Limit Theorems for Classical Likelihood Ratio Tests for High-Dimensional Normal Distributions
Tiefeng Jiang
Fan Yang
133
134
0
02 Jun 2013
Universality for the largest eigenvalue of sample covariance matrices
  with general population
Universality for the largest eigenvalue of sample covariance matrices with general population
Z. Bao
G. Pan
Wang Zhou
177
101
0
21 Apr 2013
On the sphericity test with large-dimensional observations
On the sphericity test with large-dimensional observations
Qinwen Wang
Jianfeng Yao
73
71
0
17 Mar 2013
Signal Detection in High Dimension: The Multispiked Case
Signal Detection in High Dimension: The Multispiked Case
A. Onatski
Marcelo J. Moreira
Marc Hallin
115
74
0
20 Oct 2012
Detection of weak signals in high-dimensional complex-valued data
Detection of weak signals in high-dimensional complex-valued data
A. Onatski
88
10
0
30 Jul 2012
Optimal hypothesis testing for high dimensional covariance matrices
Optimal hypothesis testing for high dimensional covariance matrices
Tommaso Cai
Zongming Ma
133
113
0
18 May 2012
Optimal detection of sparse principal components in high dimension
Optimal detection of sparse principal components in high dimension
Quentin Berthet
Philippe Rigollet
165
284
0
23 Feb 2012
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