ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration.

Bottolo, Leonardo, Chadeau-Hyam, Marc, Hastie, David I., Langley, Sarah R. ORCID: https://orcid.org/0000-0003-4419-476X, Petretto, Enrico, Tiret, Laurence, Tregouet, David and Richardson, Sylvia 2011. ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration. Bioinformatics 27 (4) , pp. 587-588. 10.1093/bioinformatics/btq684

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Abstract

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++ can handle several hundred observations, thousands of predictors and a few responses simultaneously. The core engine of ESS++ for the selection of relevant predictors is based on Evolutionary Monte Carlo. Our implementation is open source, allowing community-based alterations and improvements.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Biosciences
Publisher:	Oxford University Press
ISSN:	1367-4803
Date of Acceptance:	7 December 2010
Last Modified:	05 Sep 2023 13:30
URI:	https://orca.cardiff.ac.uk/id/eprint/162141

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