Approximate Bayesian computation (ABC) gives exact results under the assumption of model error

Statistical Applications in Genetics and Molecular Biology

Volumn 12, Issue 2, 2013, Pages 129-141

  Wilkinson, Richard David ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Approximate Bayesian computation; Calibration; Implicit inference; Likelihood free inference; Monte Carlo

Indexed keywords

ALGORITHM; ANALYTICAL ERROR; APPROXIMATE BAYESIAN COMPUTATION ALGORITHM; ARTICLE; BAYES THEOREM; CALIBRATION; COMPUTER MODEL; COMPUTER SIMULATION; MEASUREMENT ACCURACY; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PROBABILITY; REPRODUCIBILITY; STATISTICAL PARAMETERS; STOCHASTIC MODEL;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; LIKELIHOOD FUNCTIONS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD;

EID: 84881526872     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.1515/sagmb-2013-0010     Document Type: Article

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