Piecewise Approximate Bayesian Computation: fast inference
for discretely observed Markov models using a factorised
posterior distribution

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Piecewise Approximate Bayesian Computation: fast inference for discretely observed Markov models using a factorised posterior distribution

Many modern statistical applications involve inference for complicated stochastic models for which the likelihood function is difficult or even impossible to calculate, and hence conventional likelihood-based inferential techniques cannot be used. In such settings, Bayesian inference can be performe...

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Bibliographic Details
Main Authors:	White, S.R., Kypraios, Theodore, Preston, Simon P.
Format:	Article
Published:	Springer 2015
Subjects:	Approximate Bayesian Computation Simulation Stochastic Lotka–Volterra
Online Access:	https://eprints.nottingham.ac.uk/47125/

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