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Sagan

Paper

Neural Posterior Estimation for Stochastic Epidemic Models Using Final Outcome Data

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AI summary

arXiv:2606. 02874v1 Announce Type: cross Abstract: Neural posterior estimation (NPE) is a simulation-based approach to Bayesian inference that trains a neural network to approximate the posterior distribution from simulated parameter - data pairs, bypassing likelihood evaluation.