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A More Powerful Two-Sample Test in High Dimensions using Random Projection

11 August 2011

Papers citing "A More Powerful Two-Sample Test in High Dimensions using Random Projection"

32 / 32 papers shown

Title
HDNRA: An R package for HDLSS location testing with normal-reference approaches Pengfei Wang Tianming Zhu Jin-Ting Zhang 44 0 0 22 Oct 2024
Random-projection ensemble dimension reduction Wenxing Zhou Timothy I. Cannings 70 0 0 07 Oct 2024
A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections Prodromos Kolyvakis A. Likas 50 2 0 28 Nov 2023
On the Noise Sensitivity of the Randomized SVD Elad Romanov 93 1 0 27 May 2023
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning Tengyao Wang Yan Sun M. Gataric R. Samworth 61 1 0 18 Apr 2023
Gaussian random projections of convex cones: approximate kinematic formulae and applications Q. Han Hua Ren 81 3 0 11 Dec 2022
Optimal Change-point Testing for High-dimensional Linear Models with Temporal Dependence Daren Wang Zifeng Zhao 96 6 0 08 May 2022
Robust and Provable Guarantees for Sparse Random Embeddings Maciej Skorski Alessandro Temperoni Martin Theobald 86 2 0 22 Feb 2022
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Yan Sun 81 15 0 16 Nov 2021
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors Wanjun Liu Xiufan Yu Runze Li 60 14 0 29 Oct 2021
Instrument Space Selection for Kernel Maximum Moment Restriction Rui Zhang Krikamol Muandet Bernhard Schölkopf Masaaki Imaizumi 64 3 0 07 Jun 2021
Sparse sketches with small inversion bias Michal Derezinski Zhenyu Liao Yan Sun Michael W. Mahoney 107 22 0 21 Nov 2020
Covariance matrix testing in high dimension using random projections D. Ayyala Santu Ghosh Daniel F. Linder 41 3 0 16 Nov 2020
A Kernel Two-Sample Test for Functional Data George Wynne Andrew B. Duncan 88 45 0 25 Aug 2020
High-dimensional MANOVA via Bootstrapping and its Application to Functional and Sparse Count Data Zhenhua Lin Miles E. Lopes Hans-Georg Müller 15 10 0 02 Jul 2020
How to reduce dimension with PCA and random projections? Fan Yang Sifan Liu Yan Sun David P. Woodruff 63 28 0 01 May 2020
Random projections: data perturbation for classification problems T. Cannings 58 20 0 25 Nov 2019
High dimensional statistical inference: theoretical development to data analytics D. Ayyala 44 2 0 19 Aug 2019
Kernel Hypothesis Testing with Set-valued Data Alexis Bellot M. Schaar 11 0 0 09 Jul 2019
Asymptotics for Sketching in Least Squares Regression Yan Sun Sifan Liu 61 13 0 14 Oct 2018
Supervised Dimensionality Reduction for Big Data Joshua T. Vogelstein Eric W. Bridgeford M. Tang Da Zheng Christopher Douville Randal C. Burns Mauro Maggioni 39 3 0 05 Sep 2017
Two-sample testing in non-sparse high-dimensional linear models Yinchu Zhu Jelena Bradic 68 9 0 14 Oct 2016
A review of 20 years of naive tests of significance for high-dimensional mean vectors and covariance matrices Jiang Hu Z. Bai 88 36 0 03 Mar 2016
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions Jonas W. Mueller Tommi Jaakkola 76 35 0 30 Oct 2015
Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing Aaditya Ramdas Sashank J. Reddi Barnabás Póczós Aarti Singh Larry A. Wasserman 91 41 0 04 Aug 2015
On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives Aaditya Ramdas Sashank J. Reddi Barnabás Póczós Aarti Singh Larry A. Wasserman 71 9 0 23 Nov 2014
Efficiency of change point tests in high dimensional settings J. Aston Claudia Kirch 86 15 0 05 Sep 2014
RAPTT: An Exact Two-Sample Test in High Dimensions Using Random Projections Radhendushka Srivastava Ping Li D. Ruppert 101 74 0 08 May 2014
A Global Homogeneity Test for High-Dimensional Linear Regression Camille Charbonnier Nicolas Verzélen Fanny Villers 113 4 0 16 Aug 2013
Central Limit Theorems for Classical Likelihood Ratio Tests for High-Dimensional Normal Distributions Tiefeng Jiang Fan Yang 133 134 0 02 Jun 2013
A high-dimensional two-sample test for the mean using random subspaces Måns Thulin 63 59 0 16 Apr 2013
Estimating Unknown Sparsity in Compressed Sensing Miles E. Lopes 81 115 0 19 Apr 2012