The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs

3 March 2009

Papers citing "The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs"

50 / 50 papers shown

Title
Learning Directed Acyclic Graphs from Partial Orderings Ali Shojaie Wenyu Chen CML 45 0 0 24 Mar 2024
On pairwise interaction multivariate Pareto models Michael Lalancette 30 2 0 21 Jun 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks Yujia Zheng Ignavier Ng Yewen Fan Kun Zhang 11 4 0 19 May 2023
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data Konstantin Göbler Anne Miloschewski Mathias Drton S. Mukherjee 19 2 0 21 Nov 2022
Graphical Model Inference with Erosely Measured Data Lili Zheng Genevera I. Allen 13 1 0 20 Oct 2022
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 24 0 0 06 May 2022
Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data Sijia Li Martín López-García Neil D. Lawrence Luisa Cutillo 32 5 0 15 Mar 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 69 5 0 16 Dec 2021
Semiparametric discrete data regression with Monte Carlo inference and prediction Daniel R. Kowal Bo-Hong Wu 23 3 0 23 Oct 2021
Joint Functional Gaussian Graphical Models Ilias Moysidis Bing Li 27 3 0 13 Oct 2021
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity Zeyu Wu Cheng-Long Wang Weidong Liu 36 3 0 07 Jul 2021
High-dimensional Precision Matrix Estimation with a Known Graphical Structure Thi-Tinh-Minh Le Pingshou Zhong 22 6 0 28 Jun 2021
Semiparametric count data regression for self-reported mental health Daniel R. Kowal Bohan Wu 22 10 0 16 Jun 2021
Measuring dependence between random vectors via optimal transport Gilles Mordant Johan Segers OT 11 24 0 28 Apr 2021
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types Benjamin Christoffersen M. Clements K. Humphreys Hedvig Kjellström 23 3 0 04 Feb 2021
The huge Package for High-dimensional Undirected Graph Estimation in R T. Zhao Han Liu Kathryn Roeder John D. Lafferty Larry A. Wasserman 11 479 0 26 Jun 2020
Differential Network Analysis: A Statistical Perspective Ali Shojaie 43 48 0 09 Mar 2020
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes David Salinas Michael Bohlke-Schneider Laurent Callot Roberto Medico Jan Gasthaus AI4TS 30 224 0 07 Oct 2019
High-Temperature Structure Detection in Ferromagnets Yuan Cao Matey Neykov Han Liu 24 10 0 21 Sep 2018
Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach Ziwen An David J. Nott Christopher C. Drovandi 18 51 0 16 Sep 2018
Transformation Autoregressive Networks Junier B. Oliva Kumar Avinava Dubey Manzil Zaheer Barnabás Póczós Ruslan Salakhutdinov Eric P. Xing J. Schneider OOD 28 86 0 30 Jan 2018
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective Ronak R. Mehta Hyunwoo J. Kim Shulei Wang Sterling C. Johnson Ming Yuan Vikas Singh 24 0 0 20 Nov 2017
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
An Expectation Conditional Maximization approach for Gaussian graphical models Z. Li Tyler H. McCormick 23 26 0 20 Sep 2017
Property Testing in High Dimensional Ising models Matey Neykov Han Liu 24 20 0 20 Sep 2017
Learning non-parametric Markov networks with mutual information Janne Leppä-aho Santeri Räisänen Xiao Yang Teemu Roos 18 2 0 08 Aug 2017
Graphical Models for Discrete and Continuous Data Rui Zhuang Noah Simon Johannes Lederer 13 4 0 18 Sep 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 17 7 0 01 Jul 2016
Network Maximal Correlation S. Feizi A. Makhdoumi K. Duffy Muriel Médard Manolis Kellis 18 12 0 15 Jun 2016
A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models Beilun Wang Ritambhara Singh Yanjun Qi 24 12 0 11 May 2016
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies David I. Inouye Pradeep Ravikumar Inderjit S. Dhillon 22 18 0 11 Mar 2016
Coordination Event Detection and Initiator Identification in Time Series Data Chainarong Amornbunchornvej Ivan Brugere Ariana Strandburg-Peshkin D. Farine M. Crofoot T. Berger-Wolf AI4TS 16 22 0 04 Mar 2016
Structure estimation for mixed graphical models in high-dimensional data Jonas M. B. Haslbeck L. Waldorp CML 24 47 0 19 Oct 2015
Structure Learning of Partitioned Markov Networks Song Liu Taiji Suzuki Masashi Sugiyama Kenji Fukumizu 21 2 0 02 Apr 2015
Graphical Exponential Screening Zhe Liu 36 2 0 09 Mar 2015
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations Hai Shu B. Nan 38 20 0 16 Dec 2014
A General Framework for Mixed Graphical Models Eunho Yang Pradeep Ravikumar Genevera I. Allen Yulia Baker Ying-Wooi Wan Zhandong Liu 38 18 0 02 Nov 2014
Sparse and compositionally robust inference of microbial ecological networks Zachary D. Kurtz Christian L. Müller Emily R. Miraldi D. Littman M. Blaser Richard Bonneau 37 1,226 0 18 Aug 2014
High Dimensional Semiparametric Scale-Invariant Principal Component Analysis Fang Han Han Liu 45 16 0 18 Feb 2014
Asymptotically Normal and Efficient Estimation of Covariate-Adjusted Gaussian Graphical Model Mengjie Chen Zhao Ren Hongyu Zhao Harrison H. Zhou 35 59 0 23 Sep 2013
The Cluster Graphical Lasso for improved estimation of Gaussian graphical models Kean Ming Tan Daniela Witten Ali Shojaie 70 71 0 19 Jul 2013
High-dimensional Mixed Graphical Models Jie Cheng Tianxi Li Elizaveta Levina Ji Zhu 54 78 0 09 Apr 2013
Partial Gaussian Graphical Model Estimation Xiao-Tong Yuan Tong Zhang 49 42 0 28 Sep 2012
The Nonparanormal SKEPTIC Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 54 194 0 27 Jun 2012
Sparse-GEV: Sparse Latent Space Model for Multivariate Extreme Value Time Serie Modeling Yan Liu M. T. Bahadori Hongfei Li AI4TS 38 33 0 18 Jun 2012
High Dimensional Semiparametric Gaussian Copula Graphical Models Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 58 407 0 10 Feb 2012
Sparse Nonparametric Graphical Models John D. Lafferty Han Liu Larry A. Wasserman 49 64 0 04 Jan 2012