Confidence graphs for graphical model selection
type: Item
instance of: scholarly article
title: Confidence graphs for graphical model selection
zbMATH Open document ID: 1475.62065
author: Linna Wang
author: Yichen Qin
author: Yang Li
published in: Statistics and Computing
publication date: 2021-12-09T00:00:00Z
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 7442051
zbMATH Keywords: bootstrap
zbMATH Keywords: confidence set
zbMATH Keywords: model selection uncertainty
MaRDI profile type: Publication
full work available at URL: s11222-021-10027-5
OpenAlex ID: W3183432491
cites work: Q3096116
cites work: Bootstrapping Lasso Estimators
cites work: Q4318617
cites work: Network exploration via the adaptive LASSO and SCAD penalties
cites work: Confidence sets for model selection by F -testing
cites work: Bootstrapping regression models
cites work: Sparse inverse covariance estimation with the graphical lasso
cites work: The Model Confidence Set
cites work: Fence methods for mixed model selection
cites work: Sparsistency and rates of convergence in large covariance matrix estimation
cites work: Cross-Validation With Confidence
cites work: Bootstrap inference for network construction with an application to a breast cancer microarray study
cites work: Model confidence bounds for variable selection
cites work: TIGER: A tuning-insensitive approach for optimally estimating Gaussian graphical models
cites work: Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
cites work: The graphical lasso: new insights and alternatives
cites work: High-dimensional graphs and variable selection with the Lasso
cites work: Likelihood-Based Selection and Sharp Parameter Estimation
cites work: An application of multiple comparison techniques to model selection
cites work: Model selection and estimation in the Gaussian graphical model
cites work: Large Multiple Graphical Model Inference via Bootstrap
cites work: Model Selection confidence sets by likelihood ratio testing
DOI: 10.1007/S11222-021-10027-5
description: scientific article; zbMATH DE number 7442051