High Dimensional Semiparametric Gaussian Copula Graphical Models

10 February 2012

Papers citing "High Dimensional Semiparametric Gaussian Copula Graphical Models"

10 / 10 papers shown

Title
Inference for heavy-tailed data with Gaussian dependence Bikramjit Das 11 1 0 09 May 2023
Structure Learning in Graphical Models from Indirect Observations Hang Zhang Afshin Abdi Faramarz Fekri CML 11 0 0 06 May 2022
The Dual PC Algorithm and the Role of Gaussianity for Structure Learning of Bayesian Networks Enrico Giudice Jack Kuipers G. Moffa CML 51 5 0 16 Dec 2021
Generating Multivariate Load States Using a Conditional Variational Autoencoder Chenguang Wang Ensieh Sharifnia Zhi Gao Simon Tindemans Peter Palensky 19 22 0 21 Oct 2021
Joint Functional Gaussian Graphical Models Ilias Moysidis Bing Li 19 2 0 13 Oct 2021
Dependence Modeling in Ultra High Dimensions with Vine Copulas and the Graphical Lasso D. Müller C. Czado 11 15 0 15 Sep 2017
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 13 7 0 01 Jul 2016
Network Maximal Correlation S. Feizi A. Makhdoumi K. Duffy Muriel Médard Manolis Kellis 13 12 0 15 Jun 2016
Multi-task Sparse Structure Learning A. Gonçalves Puja Das Soumyadeep Chatterjee V. Sivakumar F. J. Zuben A. Banerjee 20 40 0 01 Sep 2014
Challenges of Big Data Analysis Jianqing Fan Fang Han Han Liu 65 1,275 0 07 Aug 2013