High Dimensional Semiparametric Gaussian Copula Graphical Models

10 February 2012

Papers citing "High Dimensional Semiparametric Gaussian Copula Graphical Models"

35 / 35 papers shown

Title
Entropic covariance models Piotr Zwiernik 22 2 0 06 Jun 2023
Inference for heavy-tailed data with Gaussian dependence Bikramjit Das 27 1 0 09 May 2023
Sure Screening for Transelliptical Graphical Models Yuxiang Xie C. Shi R. Song 18 0 0 23 Sep 2022
Structure Learning in Graphical Models from Indirect Observations Hang Zhang Afshin Abdi Faramarz Fekri CML 26 0 0 06 May 2022
Limiting spectral distribution of large dimensional Spearman's rank correlation matrices Zeyu Wu Cheng-Long Wang 36 10 0 23 Dec 2021
The Dual PC Algorithm and the Role of Gaussianity for Structure Learning of Bayesian Networks Enrico Giudice Jack Kuipers G. Moffa CML 71 5 0 16 Dec 2021
Generating Multivariate Load States Using a Conditional Variational Autoencoder Chenguang Wang Ensieh Sharifnia Zhi Gao Simon Tindemans Peter Palensky 29 22 0 21 Oct 2021
Joint Gaussian Graphical Model Estimation: A Survey Katherine Tsai Oluwasanmi Koyejo Mladen Kolar CML 41 20 0 19 Oct 2021
Joint Functional Gaussian Graphical Models Ilias Moysidis Bing Li 27 3 0 13 Oct 2021
The huge Package for High-dimensional Undirected Graph Estimation in R T. Zhao Han Liu Kathryn Roeder John D. Lafferty Larry A. Wasserman 22 479 0 26 Jun 2020
Structure Learning for Cyclic Linear Causal Models Carlos Améndola Philipp Dettling Mathias Drton Federica Onori Jun Wu CML 21 15 0 10 Jun 2020
Differential Network Analysis: A Statistical Perspective Ali Shojaie 43 48 0 09 Mar 2020
Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications Zhipeng Wang D. W. Scott 24 69 0 30 Mar 2019
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting Rebecca E. Morrison Ricardo Baptista Youssef Marzouk CML 33 26 0 02 Nov 2017
Sparse Linear Isotonic Models Sheng Chen A. Banerjee 16 3 0 16 Oct 2017
Dependence Modeling in Ultra High Dimensions with Vine Copulas and the Graphical Lasso D. Müller C. Czado 28 15 0 15 Sep 2017
Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models Qiang Sun Kean Ming Tan Han Liu Tong Zhang 8 8 0 04 Jun 2017
Graphical Models for Discrete and Continuous Data Rui Zhuang Noah Simon Johannes Lederer 18 4 0 18 Sep 2016
Joint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genomics Yuying Xie Yufeng Liu W. Valdar 25 26 0 30 Aug 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 21 7 0 01 Jul 2016
Network Maximal Correlation S. Feizi A. Makhdoumi K. Duffy Muriel Médard Manolis Kellis 20 12 0 15 Jun 2016
Kernel-based Tests for Joint Independence Niklas Pfister Peter Buhlmann Bernhard Schölkopf J. Peters 20 182 0 01 Mar 2016
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations Matey Neykov Y. Ning Jun S. Liu Han Liu 21 77 0 30 Oct 2015
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 39 130 0 09 Jul 2015
Sufficient Forecasting Using Factor Models Jianqing Fan Lingzhou Xue Jiawei Yao AI4TS 42 76 0 27 May 2015
Structure Learning of Partitioned Markov Networks Song Liu Taiji Suzuki Masashi Sugiyama Kenji Fukumizu 23 2 0 02 Apr 2015
An Extreme-Value Approach for Testing the Equality of Large U-Statistic Based Correlation Matrices Cheng Zhou Fang Han Xinsheng Zhang Han Liu 57 8 0 11 Feb 2015
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory T. Zhao Han Liu Tong Zhang 34 46 0 23 Dec 2014
Multi-task Sparse Structure Learning A. Gonçalves Puja Das Soumyadeep Chatterjee V. Sivakumar F. J. Zuben A. Banerjee 31 40 0 01 Sep 2014
Multivariate Analysis of Nonparametric Estimates of Large Correlation Matrices Ritwik Mitra Cun-Hui Zhang 43 28 0 24 Mar 2014
Challenges of Big Data Analysis Jianqing Fan Fang Han Han Liu 74 1,278 0 07 Aug 2013
A Direct Estimation of High Dimensional Stationary Vector Autoregressions Fang Han Huanran Lu Han Liu 70 120 0 01 Jul 2013
Partial Gaussian Graphical Model Estimation Xiao-Tong Yuan Tong Zhang 52 42 0 28 Sep 2012
The Nonparanormal SKEPTIC Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 56 194 0 27 Jun 2012
Alternating Direction Methods for Latent Variable Gaussian Graphical Model Selection Shiqian Ma Lingzhou Xue H. Zou 57 101 0 06 Jun 2012