Open AccessA Bayesian parameter estimation and model selection tool for molecular cascades: LetItB (Let It found by Bayes)
Author(s) -
Kenji Doya
Publication year - 2010
Publication title -
frontiers in neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.499
H-Index - 102
eISSN - 1662-4548
pISSN - 1662-453X
DOI - 10.3389/conf.fnins.2010.13.00037
Subject(s) - bayes' theorem , computer science , bayesian probability , model selection , bayes factor , ordinary differential equation , bayesian inference , prior probability , software , machine learning , artificial intelligence , bayesian hierarchical modeling , algorithm , event (particle physics) , replicate , bayes estimator , selection (genetic algorithm) , posterior probability , mathematics , statistics , differential equation , mathematical analysis , physics , quantum mechanics , programming language