A critical review of common pitfalls and guidelines to effectively infer parameters of agent-based models using Approximate Bayesian Computation

The agent-based modelling paradigm often results in complex, highly detailed models, containing unknown or uncertain parameters. Approximate Bayesian Computation (ABC) offers a simulation-based approach for inferring these parameters from observational data. But similar to the flexibility ingrained...

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Bibliographic Details

Published in:	Environmental modelling & software : with environment data news Vol. 172; p. 105905
Main Authors:	De Visscher, Lander, De Baets, Bernard, Baetens, Jan M.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2024
Subjects:	Agent-based models Approximate Bayesian Computation Bayesian theory Calibration computer software Individual-based models Inference observational studies Simulation Approximate Bayesian Computation Individual-based models Inference Agent-based models Calibration Simulation
ISSN:	1364-8152, 1873-6726
Online Access:	Get full text
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