Variable selection via a multi-stage strategy

DOI10.1080/02664763.2014.985640OpenAlexW2062453568MaRDI QIDQ5130191

Jing Chang, Herbert K. H. Lee

Publication date: 4 November 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://escholarship.org/uc/item/6d26z473

zbMATH Keywords

sensitivity analysisGaussian processregression treesequential designsum of tree

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Projection pursuit emulation for many-input computer experiments ⋮ Maximum relevance minimum common redundancy feature selection for nonlinear data

Uses Software

• gss
• tgp
• BayesTree
• spikeslab
• MMIX
• foba
• BartPy

Cites Work

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• BART: Bayesian additive regression trees
• Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index
• Cases for the nugget in modeling computer experiments
• The design and analysis of computer experiments.
• Bayesian backfitting. (With comments and a rejoinder).
• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• Bayesian Treed Gaussian Process Models With an Application to Computer Modeling

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