Statistical abstraction for multi-scale spatio-temporal systems

DOI10.1145/3366023zbMATH Open1544.62388MaRDI QIDQ6600063

Jane Hillston, Guido Sanguinetti, Michalis P. Michaelides

Publication date: 8 September 2024

Published in: ACM Transactions on Modeling and Computer Simulation (Search for Journal in Brave)

zbMATH Keywords

coarseningspatio-temporalagent-basedmulti-scale systemsstatistical abstraction

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of big data and data science (62R07)

Cites Work

• Smoothed model checking for uncertain continuous-time Markov chains
• Bio-PEPA: A framework for the modelling and analysis of biological systems
• Approximation and inference methods for stochastic biochemical kinetics—a tutorial review
• A POWER SERIES EXPANSION OF THE MASTER EQUATION
• Markov Chains
• Limit theorems for sequences of jump Markov processes approximating ordinary differential processes
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