Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation

Author:

Fadikar ArindamORCID,Higdon Dave,Chen Jiangzhuo,Lewis Bryan,Venkatramanan SrinivasanORCID,Marathe Madhav

Funder

Defense Threat Reduction Agency

National Science Foundation

Intelligence Advanced Research Projects Activity

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Cited by 28 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Towards Improved Uncertainty Quantification of Stochastic Epidemic Models Using Sequential Monte Carlo;2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2024-05-27

3. An uncertainty quantification framework for agent-based modeling and simulation in networked anagram games;Journal of Simulation;2024-02-29

4. Can (and Should) Automated Surrogate Modelling Be Used for Simulation Assistance?;Lecture Notes in Computer Science;2024

5. Model Calibration for Agent-Based Simulation Using a Pattern Clustering Network;Communications in Computer and Information Science;2024

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