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ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration
Summary: ESS++ is a C++ implementation of a fully Bayesian variable selection approach for single and multiple response linear regression. ESS++ works well both when the number of observations is larger than the number of predictors and in the ‘large p, small n’ case. In the current version, ESS++ c...
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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3035799/ https://ncbi.nlm.nih.gov/pubmed/21233165 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq684 |
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