Package broadwick.abc

Package for Approximate Bayesian Computation.

See: Description

Interface Summary

Interface	Description
AbcController	AbcController class for running abc.
AbcDistance	Create the distance measure required for the ABC rejection algorithm.
AbcModel	A simple model class thats runs a model and creates named quantities, i.e.
AbcPriorsSampler	This interface determines how the Prior distribution(s) should be sampled.

Class Summary

Class	Description
AbcAbsDistance	Create a default controller that run 1000 samples from the prior.
AbcMaxNumStepController	Create a default controller that run 1000 samples from the prior.
AbcNamedQuantity	An ABC named quantity is an order maintaining store of key-value pairs that can be used to store parameters for a model or the summary statistic calculated by a model.
ApproxBayesianComp	This class runs an approximate Bayesian computation, sampling from the posterior.

Package broadwick.abc Description

Package for Approximate Bayesian Computation. References:

• Approximate Bayesian Computation
• Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems