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...

Celý popis

Podrobná bibliografie

Vydáno v:	Environmental modelling & software : with environment data news Ročník 172; s. 105905
Hlavní autoři:	De Visscher, Lander, De Baets, Bernard, Baetens, Jan M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2024
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!