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Permutation methods for factor analysis and PCA

2 October 2017

Papers citing "Permutation methods for factor analysis and PCA"

26 / 26 papers shown

Title
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data Javier Salazar Cavazos Jeffrey A. Fessler Laura Balzano 81 3 0 12 May 2025
A statistical framework for GWAS of high dimensional phenotypes using summary statistics, with application to metabolite GWAS Weiqiong Huang Emily C. Hector Joshua Cape Chris McKennan 50 0 0 17 Mar 2023
Sampling without replacement from a high-dimensional finite population Jiang Hu Shao-An Wang Yangchun Zhang Wang Zhou 117 3 0 27 Jan 2023
Detection problems in the spiked matrix models Ji Hyung Jung Hye Won Chung J. Lee 129 2 0 12 Jan 2023
A CLT for the LSS of large dimensional sample covariance matrices with diverging spikes Zhijun Liu Jiang Hu Z. Bai Haiyan Song 65 7 0 12 Dec 2022
Matrix Denoising with Partial Noise Statistics: Optimal Singular Value Shrinkage of Spiked F-Matrices M. Gavish W. Leeb Elad Romanov 52 6 0 02 Nov 2022
Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Games Druv Pai Michael Psenka Chih-Yuan Chiu Manxi Wu Yan Sun Yi Ma 91 6 0 18 Jun 2022
A CLT for the LSS of large dimensional sample covariance matrices with unbounded dispersions Zhijun Liu Jiang Hu Z. Bai Haiyan Song 45 2 0 15 May 2022
Selective inference for k-means clustering Yiqun T. Chen Daniela Witten 70 47 0 29 Mar 2022
Consistency of invariance-based randomization tests Yan Sun 157 19 0 25 Apr 2021
Biwhitening Reveals the Rank of a Count Matrix Boris Landa Thomas T. Zhang Y. Kluger 92 22 0 25 Mar 2021
Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues Jian-bo Hu Jingfei Zhang Jianhua Guo Ji Zhu 65 1 0 15 Dec 2020
Selecting the number of components in PCA via random signflips David Hong Yueqi Sheng Yan Sun 116 16 0 05 Dec 2020
Factor analysis in high dimensional biological data with dependent observations Chris McKennan CML 45 7 0 23 Sep 2020
Statistical inference for principal components of spiked covariance matrices Z. Bao Xiucai Ding Jingming Wang Ke Wang 102 50 0 27 Aug 2020
A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis Yinqiu He Zi Wang Gongjun Xu 52 1 0 14 Aug 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
Sparse Optimization on General Atomic Sets: Greedy and Forward-Backward Algorithms Thomas T. Zhang 18 0 0 26 Dec 2019
Rapid evaluation of the spectral signal detection threshold and Stieltjes transform W. Leeb 99 7 0 26 Apr 2019
Robust Subspace Recovery with Adversarial Outliers Tyler Maunu Gilad Lerman 65 19 0 05 Apr 2019
Matrix denoising for weighted loss functions and heterogeneous signals W. Leeb 87 25 0 25 Feb 2019
Steerable $e$ PCA: Rotationally Invariant Exponential Family PCA Zhizhen Zhao Lydia T. Liu A. Singer 59 3 0 20 Dec 2018
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension Yinqiu He Tiefeng Jiang Jiyang Wen Gongjun Xu 62 11 0 17 Dec 2018
Optimal spectral shrinkage and PCA with heteroscedastic noise Qiangqiang Wu Yanjie Liang 89 25 0 06 Nov 2018
Robust high dimensional factor models with applications to statistical machine learning Jianqing Fan Kaizheng Wang Yiqiao Zhong Ziwei Zhu 86 55 0 12 Aug 2018
Optimal prediction in the linearly transformed spiked model Edgar Dobriban W. Leeb A. Singer 83 20 0 07 Sep 2017