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

TY - JOUR

T1 - ESS++, a C++ objected-oriented algorithm for Bayesian stochastic search model exploration

AU - Bottolo, Leonardo

AU - Chadeau-Hyam, Marc

AU - Hastie, David I

AU - Langley, Sarah R

AU - Petretto, Enrico

AU - Tiret, Laurence

AU - Tregouet, David

AU - Richardson, Sylvia

PY - 2011/2/15

Y1 - 2011/2/15

N2 - 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.

AB - 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.

KW - Algorithms

KW - Bayes Theorem

KW - Gene Expression Regulation

KW - Linear Models

KW - Models, Statistical

KW - Programming Languages

KW - Software

KW - Stochastic Processes

U2 - 10.1093/bioinformatics/btq684

DO - 10.1093/bioinformatics/btq684

M3 - Article

C2 - 21233165

SN - 1367-4811

VL - 27

SP - 587

EP - 588

JO - Bioinformatics (Oxford, England)

JF - Bioinformatics (Oxford, England)

IS - 4

ER -