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stat.ME2025
Efficient Bayesian Inference for Discretely Observed Continuous Time Markov Chains
Tao Tang, Lachlan Astfalck, David Dunson
Inference for continuous-time Markov chains (CTMCs) becomes challenging when the process is only observed at discrete time points. The exact likelihood is intractable, and existing…
stat.ME2022
Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model
Jenny Huang, Raphaël Morsomme, David Dunson +1
Throughout the course of an epidemic, the rate at which disease spreads varies with behavioral changes, the emergence of new disease variants, and the introduction of mitigation po…