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Bayesian Conditional Tensor Factorizations for High-Dimensional Classification
In many application areas, data are collected on a categorical response and high-dimensional categorical predictors, with the goals being to build a parsimonious model for classification while doing inferences on the important predictors. In settings such as genomics, there can be complex interactio...
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| Pubblicato in: | J Am Stat Assoc |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6980791/ https://ncbi.nlm.nih.gov/pubmed/31983790 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2015.1029129 |
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