3 papers
stat.ME2025
Staying on Track: Efficient Trajectory Discovery with Adaptive Batch Sampling
Arindam Fadikar, Abby Stevens, Mickael Binois +3
Bayesian optimization (BO) is a powerful framework for estimating parameters of expensive simulation models, particularly in settings where the likelihood is intractable and evalua…
stat.AP2025
Start from the End: A Framework for Computational Policy Exploration to Inform Effective and Geospatially Consistent Interventions applied to COVID-19 in St. Louis
David O'Gara, Matt Kasman, Matthew D. Haslam +1
Mathematical models are a powerful tool to study infectious disease dynamics and intervention strategies against them in social systems. However, due to their detailed implementati…
stat.AP2024
Improving Policy-Oriented Agent-Based Modeling with History Matching: A Case Study
David O'Gara, Cliff C. Kerr, Daniel J. Klein +3
Advances in computing power and data availability have led to growing sophistication in mechanistic mathematical models of social dynamics. Increasingly these models are used to in…