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Massive parallelization boosts big Bayesian multidimensional scaling
Big Bayes is the computationally intensive co-application of big data and large, expressive Bayesian models for the analysis of complex phenomena in scientific inference and statistical learning. Standing as an example, Bayesian multidimensional scaling (MDS) can help scientists learn viral trajecto...
Gardado en:
| Publicado en: | J Comput Graph Stat |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8218718/ https://ncbi.nlm.nih.gov/pubmed/34168419 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2020.1754226 |
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