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...
| Hauptverfasser: | , |
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| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Public Library of Science (PLoS)
2017-01-01
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| Schriftenreihe: | PLoS ONE |
| Online Zugang: | http://europepmc.org/articles/PMC5489220?pdf=render |