Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1002.4547
Cited By
A two-sample test for high-dimensional data with applications to gene-set testing
24 February 2010
Songxi Chen
Yingli Qin
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"A two-sample test for high-dimensional data with applications to gene-set testing"
50 / 96 papers shown
Concentration Inequalities for Statistical Inference
Communications in Mathematical Research (CMR), 2020
Huiming Zhang
Songxi Chen
702
79
0
24 Feb 2025
Group Shapley with Robust Significance Testing and Its Application to Bond Recovery Rate Prediction
Jingyi Wang
Ying Chen
Paolo Giudici
204
2
0
06 Jan 2025
HDNRA: An R package for HDLSS location testing with normal-reference approaches
Pengfei Wang
Tianming Zhu
Jin-Ting Zhang
229
0
0
22 Oct 2024
Adaptive L-statistics for high dimensional test problem
Huifang Ma
Long Feng
Zhaojun Wang
191
3
0
18 Oct 2024
Linear hypothesis testing in high-dimensional heteroscedastics via random integration
Mingxiang Cao
Hongwei Zhang
Kai Xu
Daojiang He
82
0
0
18 Sep 2024
Statistical inference on kurtosis of elliptical distributions
Bowen Zhou
Peirong Xu
Cheng Wang
70
0
0
22 Aug 2024
Power-Enhanced Two-Sample Mean Tests for High-Dimensional Compositional Data with Application to Microbiome Data Analysis
Danning Li
Lingzhou Xue
Haoyi Yang
Xiufan Yu
294
5
0
04 May 2024
On testing mean of high dimensional compositional data
Qianqian Jiang
Wenbo Li
Zeng Li
149
2
0
12 Apr 2024
Uniform-over-dimension convergence with application to location tests for high-dimensional data
Joydeep Chowdhury
S. Dutta
M. Genton
192
0
0
24 Mar 2024
The decomposite
T
2
T^{2}
T
2
-test when the dimension is large
Chia-Hsuan Tsai
Ming-Tien Tsai
CoGe
156
0
0
03 Mar 2024
Test for high-dimensional mean vectors via the weighted
L
2
L_2
L
2
-norm
Jianghao Li
Zhenzhen Niu
Shizhe Hong
Zhidong Bai
152
1
0
30 Jan 2024
Two sample test for covariance matrices in ultra-high dimension
Xiucai Ding
Yichen Hu
Zhenggang Wang
197
6
0
17 Dec 2023
A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors
Alexander Giessing
Jianqing Fan
272
2
0
03 Sep 2023
Poisson and Gaussian approximations of the power divergence family of statistics
Latin American Journal of Probability and Mathematical Statistics (ALEA), 2023
Fraser Daly
195
0
0
29 Jun 2023
Adaptive Testing for High-dimensional Data
Journal of the American Statistical Association (JASA), 2023
Yangfan Zhang
Runmin Wang
Xiaofeng Shao
236
3
0
14 Mar 2023
Statistical Inference for Ultrahigh Dimensional Location Parameter Based on Spatial Median
Statistica sinica (Stat. Sinica), 2023
Guanghui Cheng
Liuhua Peng
Changliang Zou
207
6
0
09 Jan 2023
Two-sample Behrens--Fisher problems for high-dimensional data: a normal reference F-type test
Computational statistics (Zeitschrift) (CSZ), 2022
Tianming Zhu
Pengfei Wang
Jin-Ting Zhang
126
3
0
27 Dec 2022
Two-Sample Test for High-Dimensional Covariance Matrices: a normal-reference approach
Journal of Multivariate Analysis (J. Multivar. Anal.), 2022
Jin-Ting Zhang
Jingyi Wang
Tianming Zhu
261
5
0
23 Dec 2022
Robust High-dimensional Tuning Free Multiple Testing
Annals of Statistics (Ann. Stat.), 2022
Jianqing Fan
Zhipeng Lou
Mengxin Yu
336
1
0
22 Nov 2022
CLT for random quadratic forms based on sample means and sample covariance matrices
Wenzhi Yang
Yiming Liu
G. Pan
Wang Zhou
148
0
0
20 Oct 2022
Automatic sparse PCA for high-dimensional data
Statistica sinica (SS), 2022
K. Yata
M. Aoshima
300
6
0
29 Sep 2022
Theory of functional principal component analysis for discretely observed data
Hang Zhou
Dongyi Wei
Fang Yao
411
2
0
19 Sep 2022
Inference for high-dimensional split-plot designs with different dimensions between groups
Paavo Sattler
Markus Pauly
77
1
0
19 Jul 2022
Private High-Dimensional Hypothesis Testing
Annual Conference Computational Learning Theory (COLT), 2022
Shyam Narayanan
FedML
433
17
0
03 Mar 2022
An Improvement on the Hotelling
T
2
T^2
T
2
Test Using the Ledoit-Wolf Nonlinear Shrinkage Estimator
European Signal Processing Conference (EUSIPCO), 2022
Benjamin D. Robinson
Robert Malinas
Van Latimer
Beth Bjorkman Morrison
Alfred Hero
289
1
0
25 Feb 2022
Kernel Two-Sample Tests in High Dimension: Interplay Between Moment Discrepancy and Dimension-and-Sample Orders
Biometrika (Biometrika), 2021
J. Yan
Xianyang Zhang
548
26
0
31 Dec 2021
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors
Journal of machine learning research (JMLR), 2021
Wanjun Liu
Xiufan Yu
Runze Li
367
17
0
29 Oct 2021
MMD Aggregated Two-Sample Test
Journal of machine learning research (JMLR), 2021
Antonin Schrab
Ilmun Kim
Mélisande Albert
Béatrice Laurent
Benjamin Guedj
Arthur Gretton
487
87
0
28 Oct 2021
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
726
26
0
30 Sep 2021
Two Sample Testing in High Dimension via Maximum Mean Discrepancy
Hanjia Gao
Xiaofeng Shao
254
21
0
30 Sep 2021
An approximate randomization test for high-dimensional two-sample Behrens-Fisher problem under arbitrary covariances
Rui Wang
Wang-li Xu
350
18
0
04 Aug 2021
Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions
Subhabrata Majumdar
Snigdhansu Chatterjee
108
0
0
02 Jul 2021
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective
Journal of the American Statistical Association (JASA), 2021
Shulei Wang
SSL
299
4
0
14 Jun 2021
Dimension-agnostic inference using cross U-statistics
Ilmun Kim
Aaditya Ramdas
897
30
0
10 Nov 2020
High-dimensional MANOVA via Bootstrapping and its Application to Functional and Sparse Count Data
Zhenhua Lin
Miles E. Lopes
Hans-Georg Müller
507
15
0
02 Jul 2020
Bootstrapping
ℓ
p
\ell_p
ℓ
p
-Statistics in High Dimensions
Alexander Giessing
Jianqing Fan
350
4
0
23 Jun 2020
Fisher's combined probability test for high-dimensional covariance matrices
Journal of the American Statistical Association (JASA), 2020
Xiufan Yu
Danning Li
Lingzhou Xue
291
29
0
31 May 2020
Dating the Break in High-dimensional Data
Bernoulli (Bernoulli), 2020
Runmin Wang
Xiaofeng Shao
301
9
0
10 Feb 2020
Manifold Asymptotics of Quadratic-Form-Based Inference in Repeated Measures Designs
Paavo Sattler
177
0
0
05 Nov 2019
Two-Sample Test Based on Classification Probability
Statistical analysis and data mining (SADM), 2019
H. Cai
Bryan Goggin
Qingtang Jiang
OOD
183
18
0
17 Sep 2019
Optimal estimation of functionals of high-dimensional mean and covariance matrix
Jianqing Fan
Haolei Weng
Yifeng Zhou
313
8
0
20 Aug 2019
High dimensional statistical inference: theoretical development to data analytics
Handbook of Statistics (HS), 2019
D. Ayyala
253
2
0
19 Aug 2019
Kernel Mean Embedding Based Hypothesis Tests for Comparing Spatial Point Patterns
Spatial Statistics (SS), 2019
Raif M. Rustamov
James T. Klosowski
538
8
0
31 May 2019
Inference for Change Points in High Dimensional Data via Self-Normalization
Annals of Statistics (Ann. Stat.), 2019
Runmin Wang
Changbo Zhu
S. Volgushev
Xiaofeng Shao
243
41
0
21 May 2019
Note on Mean Vector Testing for High-Dimensional Dependent Observations
Seonghun Cho
Johan Lim
D. Ayyala
Junyong Park
Anindya Roy
130
2
0
19 Apr 2019
Distribution and correlation free two-sample test of high-dimensional means
Kaijie Xue
Fang Yao
215
33
0
16 Apr 2019
Statistical inference with F-statistics when fitting simple models to high-dimensional data
Econometric Theory (ET), 2019
Hannes Leeb
Lukas Steinberger
181
1
0
12 Feb 2019
Multinomial Goodness-of-Fit Based on U-Statistics: High-Dimensional Asymptotic and Minimax Optimality
Ilmun Kim
168
7
0
21 Dec 2018
Asymptotically Independent U-Statistics in High-Dimensional Testing
Yinqiu He
Gongjun Xu
Chong Wu
Wei Pan
565
54
0
02 Sep 2018
Robust Multivariate Nonparametric Tests via Projection-Averaging
Ilmun Kim
Sivaraman Balakrishnan
Larry A. Wasserman
222
16
0
02 Mar 2018
1
2
Next
Page 1 of 2
