Integrative Factor Regression and Its Inference for Multimodal Data Analysis

11 November 2019

Papers citing "Integrative Factor Regression and Its Inference for Multimodal Data Analysis"

26 / 26 papers shown

Title
Bayesian Joint Additive Factor Models for Multiview Learning Niccolò Anceschi F. Ferrari David B. Dunson Himel Mallick 54 2 0 02 Jun 2024
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models Gen Li Xiaokang Liu Kun Chen 52 6 0 26 Jul 2018
Structural Learning and Integrative Decomposition of Multi-View Data Irina Gaynanova Gen Li 31 74 0 20 Jul 2017
A projection pursuit framework for testing general high-dimensional hypothesis Yinchu Zhu Jelena Bradic 50 13 0 02 May 2017
A Flexible Framework for Hypothesis Testing in High-dimensions Adel Javanmard Jason D. Lee 59 29 0 26 Apr 2017
Embracing the Blessing of Dimensionality in Factor Models Quefeng Li Guang Cheng Jianqing Fan Yuyan Wang 43 34 0 25 Oct 2016
Linear Hypothesis Testing in Dense High-Dimensional Linear Models Yinchu Zhu Jelena Bradic 117 85 0 10 Oct 2016
Supervised multiway factorization E. Lock Gen Li 83 22 0 11 Sep 2016
Confidence Intervals for High-Dimensional Linear Regression: Minimax Rates and Adaptivity T. Tony Cai Zijian Guo 162 185 0 18 Jun 2015
A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models Y. Ning Han Liu 110 305 0 30 Dec 2014
Challenges of Big Data Analysis Jianqing Fan Fang Han Han Liu 110 1,287 0 07 Aug 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression Adel Javanmard Andrea Montanari 182 767 0 13 Jun 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 175 1,130 0 03 Mar 2013
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors Victor Chernozhukov Denis Chetverikov Kengo Kato 131 507 0 31 Dec 2012
Sparse PCA: Optimal rates and adaptive estimation Tommaso Cai Zongming Ma Yihong Wu 121 327 0 06 Nov 2012
Statistical analysis of factor models of high dimension Jushan Bai Kunpeng Li 116 330 0 30 May 2012
Factor models and variable selection in high-dimensional regression analysis A. Kneip P. Sarda 92 53 0 23 Feb 2012
Sparse Matrix Inversion with Scaled Lasso Tingni Sun Cun-Hui Zhang 126 170 0 13 Feb 2012
Large Covariance Estimation by Thresholding Principal Orthogonal Complements Jianqing Fan Yuan Liao Martina Mincheva 128 854 0 30 Dec 2011
Sparse principal component analysis and iterative thresholding Zongming Ma 118 333 0 12 Dec 2011
Joint and individual variation explained (JIVE) for integrated analysis of multiple data types E. Lock K. Hoadley J. S. Marron A. Nobel DRL 81 469 0 20 Feb 2011
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 372 1,378 0 13 Oct 2010
Variance Estimation Using Refitted Cross-validation in Ultrahigh Dimensional Regression Jianqing Fan Shaojun Guo Ning Hao 116 292 0 29 Apr 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 307 3,557 0 25 Feb 2010
$Minimax rates of estimation for high-dimensional linear regression over $\ell_q$-balls$ Minimax rates of estimation for high-dimensional linear regression over $\ell_q$ -balls Garvesh Raskutti Martin J. Wainwright Bin Yu 195 575 0 11 Oct 2009
Non-Concave Penalized Likelihood with NP-Dimensionality Jianqing Fan Jinchi Lv 170 404 0 06 Oct 2009