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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Environmental modelling & software : with environment data news Jg. 172; S. 105905
Hauptverfasser:	De Visscher, Lander, De Baets, Bernard, Baetens, Jan M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2024
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!