Towards a Bayesian Analysis of Migration Pathways Using Chain Event Graphs of Agent Based Models

DOI10.1007/978-3-031-16427-9_3arXiv2111.04368OpenAlexW4312771348MaRDI QIDQ6130508

Unnamed Author, Unnamed Author, James Q. Smith

Publication date: 3 April 2024

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2111.04368

zbMATH Keywords

conditional independenceapplied statisticsprobabilistic graphical modelscontext-specific independence

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Empirical decision procedures; empirical Bayes procedures (62C12)

Cites Work

• Conditional independence and chain event graphs
• Bayesian MAP model selection of chain event graphs
• A mathematical framework for agent based models of complex biological networks
• Learning Bayesian networks: The combination of knowledge and statistical data
• Refining a Bayesian network using a chain event graph
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