Bayesian variable selection and shrinkage strategies in a complicated modelling setting with missing data: A case study using multistate models

DOI10.1177/1471082X20920972OpenAlexW3035635595MaRDI QIDQ3389289

Lauren J. Beesley

Publication date: 10 May 2021

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x20920972

zbMATH Keywords

penalizationvariable selectionshrinkagemultistate models

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Regularization and Variable Selection Via the Elastic Net
• Multi-state models for event history analysis
• Ridge Regression: Biased Estimation for Nonorthogonal Problems
• A review of Bayesian variable selection methods: what, how and which

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