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09/19/2023
An Extendable Python Implementation of Robust Optimisation Monte Carlo
Performing inference in statistical models with an intractable likelihoo...
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12/23/2021
ABC of the Future
Approximate Bayesian computation (ABC) has advanced in two decades from ...
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12/01/2021
Prior knowledge elicitation: The past, present, and future
Specification of the prior distribution for a Bayesian model is a centra...
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11/02/2021
Likelihood-Free Inference in State-Space Models with Unknown Dynamics
We introduce a method for inferring and predicting latent states in the ...
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07/08/2020
Generalised Bayes Updates with f-divergences through Probabilistic Classifiers
A stream of algorithmic advances has steadily increased the popularity o...
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06/18/2020
Likelihood-Free Inference with Deep Gaussian Processes
In recent years, surrogate models have been successfully used in likelih...
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02/25/2020
Probabilistic elicitation of expert knowledge through assessment of computer simulations
We present a new method for probabilistic elicitation of expert knowledg...
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02/21/2020
Split-BOLFI for for misspecification-robust likelihood free inference in high dimensions
Likelihood-free inference for simulator-based statistical models has rec...
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10/29/2018