Approximate Bayesian computation: Difference between revisions

Revision as of 15:37, 2 March 2009

Revision as of 06:41, 3 April 2009

Line 1:

'''Approximate Bayesian computation (ABC)''' is a family of computational techniques in [[Bayesian statistics]]. These simulation techniques operate on summary data (such as population mean, or variance) to make broad inferences with less computation than might be required if all available data were analyzed in detail. They are especially useful in situations where evaluation of the likelihood is computationally prohibitive, or whenever suitable likelihoods are not available.

ABC methods originated in population and evolutionary genetics but have recently also been introduced to the analysis of complex and stochastic [[dynamical systems]].

==See also==