Regularized rank-based estimation of high-dimensional nonparanormal graphical models

13 February 2013

Papers citing "Regularized rank-based estimation of high-dimensional nonparanormal graphical models"

50 / 72 papers shown

Title
Conditional Independence Estimates for the Generalized Nonparanormal Ujas Shah Manuel Lladser Rebecca Morrison 46 0 0 14 Aug 2025
Efficient learning of differential network in multi-source non-paranormal graphical models Mojtaba Nikahd Seyed Abolfazl Motahari 166 0 0 03 Oct 2024
On Nonparanormal Likelihoods Torsten Hothorn 80 3 0 30 Aug 2024
Sub-Gaussian High-Dimensional Covariance Matrix Estimation under Elliptical Factor Model with 2 + εth Moment Yi Ding Xinghua Zheng 229 0 0 26 Jun 2024
Greedy equivalence search for nonparametric graphical models Bryon Aragam CML 223 3 0 25 Jun 2024
A Copula Graphical Model for Multi-Attribute Data using Optimal Transport Q. Zhang Bing Li Lingzhou Xue 172 0 0 10 Apr 2024
Learning Directed Acyclic Graphs from Partial Orderings Ali Shojaie Wenyu Chen CML 217 0 0 24 Mar 2024
On Sufficient Graphical ModelsJournal of machine learning research (JMLR), 2023 Bing Li Kyongwon Kim 185 1 0 10 Jul 2023
Nonparanormal Graph Quilting with Applications to Calcium Imaging Andersen Chang Lili Zheng Gautam Dasarathy Genevera I. Allen 188 2 0 22 May 2023
Application of fused graphical lasso to statistical inference for multiple sparse precision matricesPLoS ONE (PLoS ONE), 2023 Qiuyan Zhang Zhidong Bai Lingrui Li Hu Yang 195 1 0 02 Mar 2023
High-Dimensional Undirected Graphical Models for Arbitrary Mixed DataElectronic Journal of Statistics (EJS), 2022 Konstantin Göbler Anne Miloschewski Mathias Drton S. Mukherjee 199 2 0 21 Nov 2022
Structure Learning in Graphical Models from Indirect Observations Hang Zhang Afshin Abdi Faramarz Fekri CML 118 0 0 06 May 2022
An additive graphical model for discrete dataJournal of the American Statistical Association (JASA), 2021 Jun Tao Bing Li Lingzhou Xue 166 3 0 29 Dec 2021
Limiting spectral distribution of large dimensional Spearman's rank correlation matricesJournal of Multivariate Analysis (J. Multivar. Anal.), 2021 Zeyu Wu Cheng-Long Wang 230 12 0 23 Dec 2021
Joint Functional Gaussian Graphical Models Ilias Moysidis Bing Li 136 3 0 13 Oct 2021
latentcor: An R Package for estimating latent correlations from mixed data types Min-Ching Huang Christian L. Müller Irina Gaynanova 75 16 0 20 Aug 2021
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity Zeyu Wu Cheng-Long Wang Weidong Liu 236 5 0 07 Jul 2021
Nonparametric and high-dimensional functional graphical modelsElectronic Journal of Statistics (EJS), 2021 Eftychia Solea Holger Dette 146 15 0 18 Mar 2021
Learning Continuous Exponential Families Beyond Gaussian C. Ren Sidhant Misra Marc Vuffray A. Lokhov 181 7 0 18 Feb 2021
On Learning Continuous Pairwise Markov Random FieldsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020 Abhin Shah Devavrat Shah G. Wornell 293 13 0 28 Oct 2020
Fisher's combined probability test for high-dimensional covariance matricesJournal of the American Statistical Association (JASA), 2020 Xiufan Yu Danning Li Lingzhou Xue 241 27 0 31 May 2020
Differential Network Analysis: A Statistical Perspective Ali Shojaie 250 54 0 09 Mar 2020
Distributionally Robust Formulation and Model Selection for the Graphical LassoInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Pedro Cisneros-Velarde Sang-Yun Oh Alexander Petersen OOD 206 14 0 22 May 2019
A Fast Iterative Algorithm for High-dimensional Differential Network Zhou Tang Zhangsheng Yu Cheng-Long Wang 162 13 0 22 Jan 2019
High-Dimensional Inference for Cluster-Based Graphical Models Carson Eisenach F. Bunea Y. Ning Claudiu Dinicu 170 8 0 13 Jun 2018
Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis Amal Agarwal Lingzhou Xue 175 16 0 21 Dec 2017
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 146 0 0 20 Nov 2017
Sparse Linear Isotonic Models Sheng Chen A. Banerjee 147 4 0 16 Oct 2017
An Improved Modified Cholesky Decomposition Method for Precision Matrix Estimation Xiaoning Kang Xinwei Deng 163 31 0 14 Oct 2017
Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs Cong Ma Junwei Lu Han Liu 181 8 0 20 Sep 2017
An Expectation Conditional Maximization approach for Gaussian graphical models Z. Li Tyler H. McCormick 208 28 0 20 Sep 2017
High-Dimensional Dependency Structure Learning for Physical Processes Jamal Golmohammadi I. Ebert‐Uphoff Sijie He Yi Deng A. Banerjee AI4CE 101 0 0 12 Sep 2017
Adaptive Inferential Method for Monotone Graph Invariants Junwei Lu Matey Neykov Han Liu 173 4 0 28 Jul 2017
Detection of Block-Exchangeable Structure in Large-Scale Correlation Matrices S. Perreault T. Duchesne J. Nešlehová 129 15 0 19 Jun 2017
Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models Pan Xu Lu Tian Quanquan Gu FedML 125 8 0 29 Dec 2016
Indirect Gaussian Graph Learning beyond GaussianityIEEE Transactions on Network Science and Engineering (IEEE Trans. Netw. Sci. Eng.), 2016 Yiyuan She Shao Tang Qiaoya Zhang 243 3 0 08 Oct 2016
Graphical Models for Discrete and Continuous Data Rui Zhuang Noah Simon Johannes Lederer 176 4 0 18 Sep 2016
Joint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genomics Yuying Xie Yufeng Liu W. Valdar 173 28 0 30 Aug 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic RiskJournal of Econometrics (J. Econom.), 2016 A. Belloni Mingli Chen Victor Chernozhukov 413 7 0 01 Jul 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 249 263 0 07 Jun 2016
Kernel-based Tests for Joint Independence Niklas Pfister Peter Buhlmann Bernhard Schölkopf J. Peters 308 198 0 01 Mar 2016
Nonparametric mixture of Gaussian graphical models Kevin H. Lee Lingzhou Xue 149 2 0 31 Dec 2015
Joint limiting laws for high-dimensional independence tests Danning Li Lingzhou Xue 270 14 0 30 Dec 2015
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models Junwei Lu Mladen Kolar Han Liu 215 9 0 28 Dec 2015
Structure estimation for mixed graphical models in high-dimensional data Jonas M. B. Haslbeck L. Waldorp CML 141 50 0 19 Oct 2015
Graph Estimation for Matrix-variate Gaussian Data Xinyu Chen Weidong Liu 165 15 0 17 Sep 2015
Sufficient Forecasting Using Factor ModelsJournal of Econometrics (JE), 2014 Jianqing Fan Lingzhou Xue Jiawei Yao AI4TS 241 90 0 27 May 2015
Graphical Fermat's Principle and Triangle-Free Graph Estimation Junwei Lu Han Liu 198 0 0 23 Apr 2015
ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models Rina Foygel Barber Mladen Kolar 226 48 0 26 Feb 2015
Local and Global Inference for High Dimensional Nonparanormal Graphical Models Quanquan Gu Yuanbin Cao Y. Ning Han Liu 192 20 0 09 Feb 2015