4 citations · 5 across the 3 of their papers we have counts for
4 papers
Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation
Dhorasso Temfack, Jason Wyse
Estimating latent epidemic states and model parameters from partially observed, noisy data remains a major challenge in infectious disease modeling. State-space formulations provid…
A sequential ensemble approach to epidemic modeling: Combining Hawkes and SEIR models using SMC
Dhorasso Temfack, Jason Wyse
This paper proposes a sequential ensemble methodology for epidemic modeling that integrates discrete-time Hawkes processes (DTHP) and Susceptible-Exposed-Infectious-Removed (SEIR)…
Sequential Monte Carlo Squared for online inference in stochastic epidemic models
Dhorasso Temfack, Jason Wyse
Effective epidemic modeling and surveillance require computationally efficient methods that can continuously update estimates as new data becomes available. This paper explores the…
A review of sequential Monte Carlo methods for real-time disease modeling
Dhorasso Temfack, Jason Wyse
Sequential Monte Carlo methods are a powerful framework for approximating the posterior distribution of a state variable in a sequential manner. They provide an attractive way of a…