Subset selection in network-linked data

DOI10.1080/00949655.2022.2029444OpenAlexW4210556549MaRDI QIDQ5086104

Canhong Wen, Mingyu Gao

Publication date: 1 July 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2022.2029444

zbMATH Keywords

subset selectionhigh-dimensional datavariable selectionnetwork dependencenetwork-linked data

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to social sciences (62P25) Statistics (62-XX)

Uses Software

• BeSS
• L0Learn
• netReg

Cites Work

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• Nearly unbiased variable selection under minimax concave penalty
• Best subset selection via a modern optimization lens
• Variable selection for spatial autoregressive models with a diverging number of parameters
• Identifiability of parameters in latent structure models with many observed variables
• Prediction models for network-linked data
• Laplace Error Penalty-based Variable Selection in High Dimension
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Variable selection and estimation for high‐dimensional spatial autoregressive models
• Testing and Estimation of Social Network Dependence With Time to Event Data
• Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms

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