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07/03/2023
Some challenges of calibrating differentiable agent-based models
Agent-based models (ABMs) are a promising approach to modelling and reas...
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05/24/2023
Bayesian calibration of differentiable agent-based models
Agent-based modelling (ABMing) is a powerful and intuitive approach to m...
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06/15/2022
Calibrating Agent-based Models to Microdata with Graph Neural Networks
Calibrating agent-based models (ABMs) to data is among the most fundamen...
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02/23/2022
Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation
Simulation models of complex dynamics in the natural and social sciences...
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02/01/2022
Black-box Bayesian inference for economic agent-based models
Simulation models, in particular agent-based models, are gaining popular...
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06/23/2021
Approximate Bayesian Computation with Path Signatures
Simulation models of scientific interest often lack a tractable likeliho...
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08/03/2020
