Differential Network Analysis: A Statistical Perspective

9 March 2020

Papers citing "Differential Network Analysis: A Statistical Perspective"

22 / 22 papers shown

Title
Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity Sen Na Mladen Kolar Oluwasanmi Koyejo 31 23 0 12 Sep 2019
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data Hasan Manzour Simge Küçükyavuz Ali Shojaie CML 27 38 0 23 Apr 2019
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization Lin Xiao Adams Wei Yu Qihang Lin Weizhu Chen 47 59 0 13 Oct 2017
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models Botao Hao W. Sun Yufeng Liu Guang Cheng 37 80 0 28 Nov 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 77 249 0 07 Jun 2016
Joint Estimation of Precision Matrices in Heterogeneous Populations Takumi Saegusa Ali Shojaie 146 56 0 02 Jan 2016
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity Eugene Belilovsky Gaël Varoquaux Matthew B. Blaschko 23 64 0 29 Dec 2015
Honest confidence regions and optimality in high-dimensional precision matrix estimation Jana Janková Sara van de Geer 98 75 0 08 Jul 2015
Inference for High-dimensional Differential Correlation Matrices T. Cai Anru R. Zhang 74 29 0 25 Aug 2014
Confidence intervals for high-dimensional inverse covariance estimation Jana Janková Sara van de Geer 106 187 0 26 Mar 2014
Asymptotic normality and optimalities in estimation of large Gaussian graphical models Zhao Ren Tingni Sun Cun-Hui Zhang Harrison H. Zhou 137 245 0 24 Sep 2013
A convex pseudo-likelihood framework for high dimensional partial correlation estimation with convergence guarantees Kshitij Khare Sang-Yun Oh B. Rajaratnam 47 121 0 20 Jul 2013
High-dimensional Mixed Graphical Models Jie Cheng Tianxi Li Elizaveta Levina Ji Zhu 87 78 0 09 Apr 2013
Regularized rank-based estimation of high-dimensional nonparanormal graphical models Lingzhou Xue H. Zou 99 263 0 13 Feb 2013
Two sample tests for high-dimensional covariance matrices Jun Yu Li Songxi Chen 115 227 0 05 Jun 2012
Identifiability of Gaussian structural equation models with equal error variances J. Peters Peter Buhlmann CML 167 335 0 11 May 2012
High Dimensional Semiparametric Gaussian Copula Graphical Models Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 82 407 0 10 Feb 2012
The sparse Laplacian shrinkage estimator for high-dimensional regression Jian Huang Shuangge Ma Hongzhe Li Cun-Hui Zhang 93 104 0 15 Dec 2011
Stable Graphical Model Estimation with Random Forests for Discrete, Continuous, and Mixed Variables Bernd Fellinghauer Peter Buhlmann Martin Ryffel M. Rhein J. Reinhardt 55 85 0 01 Sep 2011
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 232 957 0 02 Oct 2010
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs Han Liu John D. Lafferty Larry A. Wasserman 135 761 0 03 Mar 2009
Sparse permutation invariant covariance estimation Adam J. Rothman Peter J. Bickel Elizaveta Levina Ji Zhu 515 907 0 31 Jan 2008