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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.ME2018
Microsimulation Model Calibration using Incremental Mixture Approximate Bayesian Computation
Carolyn Rutter, Jonathan Ozik, Maria DeYoreo +1
Microsimulation models (MSMs) are used to predict population-level effects of health care policies by simulating individual-level outcomes. Simulated outcomes are governed by unkno…