The huge Package for High-dimensional Undirected Graph Estimation in R

26 June 2020

Papers citing "The huge Package for High-dimensional Undirected Graph Estimation in R"

50 / 57 papers shown

Title
Nonparanormal Graph Quilting with Applications to Calcium Imaging Andersen Chang Lili Zheng Gautam Dasarathy Genevera I. Allen 16 1 0 22 May 2023
Inferring independent sets of Gaussian variables after thresholding correlations Arkajyoti Saha Daniela Witten Jacob Bien 24 3 0 02 Nov 2022
Efficient Inference of Spatially-varying Gaussian Markov Random Fields with Applications in Gene Regulatory Networks V. Ravikumar Tong Xu W. Al-Holou S. Fattahi Arvind Rao 13 2 0 21 Jun 2022
Inference of Multiscale Gaussian Graphical Model Do Edmond Sanou Christophe Ambroise Geneviève Robin 26 1 0 11 Feb 2022
Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles Tianyi Yao Minjie Wang Genevera I. Allen 16 1 0 22 Oct 2021
Group-wise shrinkage estimation in penalized model-based clustering A. Casa A. Cappozzo Michael Fop 10 4 0 17 May 2021
Learning Gaussian Graphical Models with Latent Confounders Ke Wang Alexander M. Franks Sang-Yun Oh CML 32 2 0 14 May 2021
Latent Network Estimation and Variable Selection for Compositional Data via Variational EM Nathan Osborne Christine B. Peterson M. Vannucci BDL 19 18 0 25 Oct 2020
PhD dissertation to infer multiple networks from microbial data Sahar Tavakoli 14 0 0 12 Oct 2020
Unsupervised and Supervised Structure Learning for Protein Contact Prediction S. Sun 17 0 0 31 Aug 2020
Accounting for missing actors in interaction network inference from abundance data Raphaelle Momal Stephane S. Robin Christophe Ambroise CML 21 5 0 28 Jul 2020
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R Xingguo Li T. Zhao Xiaoming Yuan Han Liu 11 74 0 27 Jun 2020
Estimating High-dimensional Covariance and Precision Matrices under General Missing Dependence Seongoh Park Xinlei Wang Johan Lim 15 13 0 08 Jun 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 21 6 0 20 May 2020
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery M. Laszkiewicz Asja Fischer Johannes Lederer 27 5 0 01 May 2020
Dependence in elliptical partial correlation graphs D. Rossell Piotr Zwiernik 13 17 0 28 Apr 2020
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question Jesús Arroyo Carey E. Priebe V. Lyzinski 19 2 0 05 Feb 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications Ljubisa Stankovic Danilo P. Mandic M. Daković M. Brajović Bruno Scalzo Shengxi Li A. Constantinides 31 23 0 02 Jan 2020
Matrix Normal PCA for Interpretable Dimension Reduction and Graphical Noise Modeling Chihao Zhang Kuo Gai Shihua Zhang 14 11 0 25 Nov 2019
Model Selection With Graphical Neighbour Information R. O’Shea 23 0 0 27 Aug 2019
High-dimensional Gaussian graphical model for network-linked data Tianxi Li Cheng Qian Elizaveta Levina Ji Zhu 19 15 0 04 Jul 2019
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model P. Barbillon J. Chiquet Timothée Tabouy 16 2 0 28 Jun 2019
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization Cody Mazza-Anthony Bogdan Mazoure Mark J. Coates 22 3 0 06 Jun 2019
A Unified Framework for Structured Graph Learning via Spectral Constraints Sandeep Kumar Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 29 111 0 22 Apr 2019
Model-based clustering in very high dimensions via adaptive projections B. Taschler F. Dondelinger S. Mukherjee VLM 16 5 0 22 Feb 2019
High Dimensional Robust $M$ -Estimation: Arbitrary Corruption and Heavy Tails L. Liu Tianyang Li C. Caramanis 21 14 0 24 Jan 2019
Uniform Inference in High-Dimensional Gaussian Graphical Models Jan Rabenseifner Jannis Kuck Martin Spindler Victor Chernozhukov 14 6 0 30 Aug 2018
Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models Yingxiang Yang Adams Wei Yu Zhaoran Wang T. Zhao 21 3 0 11 Mar 2018
Minimax Estimation of Large Precision Matrices with Bandable Cholesky Factor Yu Liu Zhao Ren 17 11 0 27 Dec 2017
An Expectation Conditional Maximization approach for Gaussian graphical models Z. Li Tyler H. McCormick 23 26 0 20 Sep 2017
Sparse Inverse Covariance Estimation for High-throughput microRNA Sequencing Data in the Poisson Log-Normal Graphical Model David G. Sinclair Giles Hooker 16 5 0 15 Aug 2017
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions Xingguo Li Lin F. Yang J. Ge Jarvis Haupt Tong Zhang T. Zhao 21 14 0 19 Jun 2017
Indirect Gaussian Graph Learning beyond Gaussianity Yiyuan She Shao Tang Qiaoya Zhang 21 3 0 08 Oct 2016
Tensor Graphical Model: Non-convex Optimization and Statistical Inference Xiang Lyu W. Sun Zhaoran Wang Han Liu Jian Yang Guang Cheng CML 18 0 0 15 Sep 2016
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization Xingguo Li T. Zhao R. Arora Han Liu Mingyi Hong 28 15 0 10 Jul 2016
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 42 246 0 07 Jun 2016
Generalized Stability Approach for Regularized Graphical Models Christian L. Müller Richard Bonneau Zachary D. Kurtz 30 21 0 23 May 2016
Efficient Distributed Estimation of Inverse Covariance Matrices Jesús Arroyo Elizabeth Hou 23 8 0 03 May 2016
Block-diagonal covariance selection for high-dimensional Gaussian graphical models Emilie Devijver M. Gallopin 16 40 0 12 Nov 2015
High-dimensional robust precision matrix estimation: Cellwise corruption under $ε$ -contamination Po-Ling Loh X. Tan 21 30 0 24 Sep 2015
High-dimensional consistency in score-based and hybrid structure learning Preetam Nandy Alain Hauser Marloes H. Maathuis 39 129 0 09 Jul 2015
Bayesian Additive Regression Trees using Bayesian Model Averaging B. Hernández A. Raftery S. Pennington Andrew C. Parnell 24 62 0 01 Jul 2015
Effects of Nonparanormal Transform on PC and GES Search Accuracies Joseph Ramsey 25 0 0 07 May 2015
Graphical Exponential Screening Zhe Liu 36 2 0 09 Mar 2015
BDgraph: An R Package for Bayesian Structure Learning in Graphical Models Abdolreza Mohammadi E. Wit CML 25 101 0 21 Jan 2015
Inference for Sparse Conditional Precision Matrices Jialei Wang Mladen Kolar 54 22 0 24 Dec 2014
Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory T. Zhao Han Liu Tong Zhang 34 46 0 23 Dec 2014
Joint Association Graph Screening and Decomposition for Large-scale Linear Dynamical Systems Yiyuan She Yuejia He Shijie Li D. Wu 24 6 0 17 Nov 2014
An Aggregation Method for Sparse Logistic Regression Zhe Liu 21 0 0 25 Oct 2014
Partial Correlation Screening for Estimating Large Precision Matrices, with Applications to Classification Shiqiong Huang Jiashun Jin Zhigang Yao 19 8 0 11 Sep 2014