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parallelMCMCcombine: An R Package for Bayesian Methods for Big Data and Analytics
Recent advances in big data and analytics research have provided a wealth of large data sets that are too big to be analyzed in their entirety, due to restrictions on computer memory or storage size. New Bayesian methods have been developed for data sets that are large only due to large sample sizes...
Autores principales: | Miroshnikov, Alexey, Conlon, Erin M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178156/ https://www.ncbi.nlm.nih.gov/pubmed/25259608 http://dx.doi.org/10.1371/journal.pone.0108425 |
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