Variational Inference over Non-differentiable Cardiac Simulators using Bayesian Optimization

12/09/2017
by   Adam McCarthy, et al.
0

Performing inference over simulators is generally intractable as their runtime means we cannot compute a marginal likelihood. We develop a likelihood-free inference method to infer parameters for a cardiac simulator, which replicates electrical flow through the heart to the body surface. We improve the fit of a state-of-the-art simulator to an electrocardiogram (ECG) recorded from a real patient.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset