GitHub repository: sandialabs/Bayesian-calibration-of-stochastic-agent-based-model-via-random-forest
Primary language: Python
Description: Code that uses random forest surrogates and MCMC to calibrate an agent-based disease model (CityCOVID from Argonne National Lab). Details: https://doi.org/10.48550/arXiv.2406.19524