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stat.ME2024
Neural Posterior Estimation for Stochastic Epidemic Modeling
Prayag Chatha, Fan Bu, Jeffrey Regier +2
Stochastic infectious disease models capture uncertainty in public health outcomes and have become increasingly popular in epidemiological practice. However, calibrating these mode…
stat.ME2023
Variational Inference with Coverage Guarantees in Simulation-Based Inference
Yash Patel, Declan McNamara, Jackson Loper +2
Amortized variational inference is an often employed framework in simulation-based inference that produces a posterior approximation that can be rapidly computed given any new obse…