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Two-Stage Metropolis-Hastings for Tall Data
This paper discusses the challenges presented by tall data problems associated with Bayesian classification (specifically binary classification) and the existing methods to handle them. Current methods include parallelizing the likelihood, subsampling, and consensus Monte Carlo. A new method based o...
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| Pubblicato in: | J Classif |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6166660/ https://ncbi.nlm.nih.gov/pubmed/30287977 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00357-018-9248-z |
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