Multifidelity Approximate Bayesian Computation

23 Nov 2018Thomas P PrescottRuth E Baker

A vital stage in the mathematical modelling of real-world systems is to calibrate a model's parameters to observed data. Likelihood-free parameter inference methods, such as Approximate Bayesian Computation, build Monte Carlo samples of the uncertain parameter distribution by comparing the data with large numbers of model simulations... (read more)

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