Publications
Filtered Results: 5 found
May 2023 |
Bayesian calibration of differentiable agent-based models
Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu, Michael Wooldridge, Joel Dyer |
Jun 2022 |
No. 2022-30 - Calibrating agent-based models to microdata with graph neural networks
Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian Schmon |
Feb 2022 |
Amortised likelihood-free inference for expensive time-series simulators with signatured ratio estimation
Joel Dyer, Patrick Cannon, Sebastian M Schmon |
Feb 2022 |
No. 2022-05 - Black-box Bayesian inference for economic agent-based models
Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian Schmon |
Dec 2020 |
Public risk perception and emotion on Twitter during the Covid-19 pandemic
in Applied Network Science Joel Dyer, Blas Kolic |