4 citations · 12 across the 9 of their papers we have counts for
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Scalable calibration of individual-based epidemic models through categorical approximations
Lorenzo Rimella, Nick Whiteley, Chris Jewell +2
Traditional compartmental models capture population-level dynamics but fail to characterize individual-level risk. The computational cost of exact likelihood evaluation for partial…
Simulation Based Composite Likelihood
Lorenzo Rimella, Chris Jewell, Paul Fearnhead
Inference for high-dimensional hidden Markov models is challenging due to the exponential-in-dimension computational cost of calculating the likelihood. To address this issue, we i…
Approximating optimal SMC proposal distributions in individual-based epidemic models
Lorenzo Rimella, Christopher Jewell, Paul Fearnhead
Many epidemic models are naturally defined as individual-based models: where we track the state of each individual within a susceptible population. Inference for individual-based m…
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods
Michael Whitehouse, Nick Whiteley, Lorenzo Rimella
Addressing the challenge of scaling-up epidemiological inference to complex and heterogeneous models, we introduce Poisson Approximate Likelihood (PAL) methods. In contrast to the…
Inference in Stochastic Epidemic Models via Multinomial Approximations
Nick Whiteley, Lorenzo Rimella
We introduce a new method for inference in stochastic epidemic models which uses recursive multinomial approximations to integrate over unobserved variables and thus circumvent lik…