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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Bibliografiska uppgifter
Huvudupphovsmän: Bottolo, Leonardo, Chadeau-Hyam, Marc, Hastie, David I., Langley, Sarah R., Petretto, Enrico, Tiret, Laurence, Tregouet, David, Richardson, Sylvia
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2011
Ämnen:
Applications Note
Länkar: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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