Bayesian Lasso and multinomial logistic regression on GPU

We describe an efficient Bayesian parallel GPU implementation of two classic statistical models—the Lasso and multinomial logistic regression. We focus on parallelizing the key components: matrix multiplication, matrix inversion, and sampling from the full conditionals. Our GPU implementations of Ba...

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Detalles Bibliográficos
Autores principales: Češnovar, Rok, Štrumbelj, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489220/
https://www.ncbi.nlm.nih.gov/pubmed/28658298
http://dx.doi.org/10.1371/journal.pone.0180343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489220/
https://www.ncbi.nlm.nih.gov/pubmed/28658298
http://dx.doi.org/10.1371/journal.pone.0180343

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