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12/22/2021
Efficient Multifidelity Likelihood-Free Bayesian Inference with Adaptive Computational Resource Allocation
Likelihood-free Bayesian inference algorithms are popular methods for ca...
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12/15/2021
Measuring the accuracy of likelihood-free inference
Complex scientific models where the likelihood cannot be evaluated prese...
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10/26/2021
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes
Models of stochastic processes are widely used in almost all fields of s...
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01/17/2020
Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter Sampling
Multifidelity approximate Bayesian computation (MF-ABC) is a likelihood-...
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12/28/2019
A practical guide to pseudo-marginal methods for computational inference in systems biology
For many stochastic models of interest in systems biology, such as those...
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09/14/2019
Rapid Bayesian inference for expensive stochastic models
Almost all fields of science rely upon statistical inference to estimate...
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11/23/2018