Bayesian projection approaches to variable selection in generalized linear models

David J. Nott; Chenlei Leng

doi:10.1016/j.csda.2010.01.036

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Bayesian projection approaches to variable selection in generalized linear models

David J. Nott Chenlei Leng

Year: 2010 Journal: Computational Statistics & Data Analysis Vol: 54 (12)Pages: 3227-3241 Publisher: Elsevier BV

DOI: 10.1016/j.csda.2010.01.036

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Keywords:

Mathematics Posterior probability Projection (relational algebra) Model selection Lasso (programming language) Bayesian probability Divergence (linguistics) Bayesian hierarchical modeling Linear model Linear subspace Applied mathematics Mathematical optimization Bayesian inference Algorithm Computer science Statistics

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Bayesian projection approaches to variable selection in generalized linear models

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