ConceptABC / Approximate Bayesian Computation
Approximate Bayesian Computation
A class of methods that perform Bayesian inference even when the likelihood function is not analytically tractable. Parameter samples are accepted or rejected by comparing summary statistics of simulated data with those of the observed data.
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Oct 14
Approximate Bayesian computation (ABC) is a class of methods that can still perform Bayesian inference when the likelihood function is not analytically tractable, deciding whether to accept parameters by comparing summary statistics of simulated data and observed data.
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