Scalable Bayesian bi-level variable selection in generalized linear models

Younès Youssfi; Nicolás Chopin

doi:10.3934/fods.2024010

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Scalable Bayesian bi-level variable selection in generalized linear models

Younès Youssfi Nicolás Chopin

Year: 2024 Journal: Foundations of Data Science Vol: 7 (4)Pages: 1020-1033 Publisher: American Institute of Mathematical Sciences

DOI: 10.3934/fods.2024010

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Abstract

International audience

Keywords:

Bayesian probability Computer science Feature selection Generalized linear model Selection (genetic algorithm) Scalability Variable (mathematics) Generalized linear mixed model Variable elimination Mathematics Statistics Artificial intelligence Machine learning Inference

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Scalable Bayesian bi-level variable selection in generalized linear models

Abstract

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