Reproducible learning in large-scale graphical models
type: Item
instance of: scholarly article
title: Reproducible learning in large-scale graphical models
author: Jia Zhou
author: Yang Li
author: Zemin Zheng
author: Daoji Li
published in: Journal of Multivariate Analysis
publication date: 2022-03-01T00:00:00Z
Mathematics Subject Classification ID: 62Hxx
Mathematics Subject Classification ID: 62F35
Mathematics Subject Classification ID: 62H22
Mathematics Subject Classification ID: 62H20
zbMATH DE Number: 7482270
zbMATH Keywords: false discovery rate
zbMATH Keywords: graphical models
zbMATH Keywords: high dimensionality
zbMATH Keywords: robustness
zbMATH Keywords: scalability
describes a project that uses: SILGGM
describes a project that uses: glasso
MaRDI profile type: Publication
full work available at URL: j.jmva.2021.104934
OpenAlex ID: W4200427298
cites work: Adapting to unknown sparsity by controlling the false discovery rate
cites work: Controlling the false discovery rate via knockoffs
cites work: A knockoff filter for high-dimensional selective inference
cites work: Robust inference with knockoffs
cites work: Q4322338
cites work: The control of the false discovery rate in multiple testing under dependency.
cites work: Joint estimation of multiple high-dimensional precision matrices
cites work: A Constrainedℓ1Minimization Approach to Sparse Precision Matrix Estimation
cites work: Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection
cites work: Error Variance Estimation in Ultrahigh-Dimensional Additive Models
cites work: The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
cites work: RANK: Large-Scale Inference With Graphical Nonlinear Knockoffs
cites work: Q5381132
cites work: A Projection Based Conditional Dependence Measure with Applications to High-dimensional Undirected Graphical Models
cites work: Variance Estimation Using Refitted Cross-Validation in Ultrahigh Dimensional Regression
cites work: Estimating False Discovery Proportion Under Arbitrary Covariance Dependence
cites work: Optimal classification in sparse Gaussian graphic model
cites work: Innovated interaction screening for high-dimensional nonlinear classification
cites work: Innovated scalable efficient estimation in ultra-large Gaussian graphical models
cites work: Sparse inverse covariance estimation with the graphical lasso
cites work: Joint estimation of multiple graphical models
cites work: Multilayer knockoff filter: controlled variable selection at multiple resolutions
cites work: Q4382293
cites work: GGM Knockoff Filter: False Discovery Rate Control for Gaussian Graphical Models
cites work: Gaussian graphical model estimation with false discovery rate control
cites work: Asymptotic normality and optimalities in estimation of large Gaussian graphical models
cites work: Perturbation bounds for matrix square roots and Pythagorean sums
cites work: A Direct Approach to False Discovery Rates
cites work: The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square
cites work: Ultrahigh dimensional precision matrix estimation via refitted cross validation
cites work: Model selection and estimation in the Gaussian graphical model
cites work: Uniform joint screening for ultra-high dimensional graphical models
cites work: Structural Pursuit Over Multiple Undirected Graphs
cites work: Regularization and Variable Selection Via the Elastic Net
DOI: 10.1016/J.JMVA.2021.104934
description: scientific article; zbMATH DE number 7482270