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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Vydané v:	Environmental modelling & software : with environment data news Ročník 172; s. 105905
Hlavní autori:	De Visscher, Lander, De Baets, Bernard, Baetens, Jan M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2024
Predmet:	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
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