Optimizing threshold-schedules for sequential approximate Bayesian computation: Applications to molecular systems

Statistical Applications in Genetics and Molecular Biology

Volumn 12, Issue 5, 2013, Pages 603-618

  Silk, Daniel ^a   Filippi, Sarah ^a   Stumpf, Michael P H ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Dynamical system; Parameter inference; Unscented transform

Indexed keywords

ALGORITHM; APPROXIMATE BAYESIAN COMPUTATION ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CONTROLLED STUDY; MATHEMATICAL PARAMETERS; MONTE CARLO METHOD; OSCILLATION; PREDICTION; PROBABILITY; SEQUENTIAL ANALYSIS; SIMULATION; SPACE; THRESHOLD ACCEPTANCE RATE CURVE;

ALGORITHMS; BAYES THEOREM; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; FEEDBACK, PHYSIOLOGICAL; GENE EXPRESSION REGULATION; LIKELIHOOD FUNCTIONS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; PROTEINS; RNA, MESSENGER; STOCHASTIC PROCESSES;

EID: 84888166132     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.1515/sagmb-2012-0043     Document Type: Article

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