Spike-and-slab least absolute shrinkage and selection operator generalized additive models and scalable algorithms for high-dimensional data analysis.

Guo, Boyi; Jaeger, Byron C; Rahman, A K M Fazlur; Long, D Leann; Yi, Nengjun

Guo, Boyi; Jaeger, Byron C; Rahman, A K M Fazlur; Long, D Leann; Yi, Nengjun.

Affiliation

Guo B; Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Jaeger BC; Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Rahman AKMF; Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Long DL; Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Yi N; Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA.

Stat Med ; 41(20): 3899-3914, 2022 09 10.

Article in En | MEDLINE | ID: mdl-35665524

Subject(s)

Algorithms; Data Analysis; Bayes Theorem; Computer Simulation; Humans; Monte Carlo Method

Key words

EM-coordinate decsent; generalized additive models; high-dimensional data; predictive modeling; scalablility; spike-and-slab priors

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Data Analysis Type of study: Health_economic_evaluation / Prognostic_studies Limits: Humans Language: En Journal: Stat Med Year: 2022 Type: Article Affiliation country: United States

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