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Inference in Stochastic Epidemic Models via Multinomial Approximations
v1v2 (latest)

Inference in Stochastic Epidemic Models via Multinomial Approximations

24 June 2020
N. Whiteley
Lorenzo Rimella
ArXiv (abs)PDFHTML

Papers citing "Inference in Stochastic Epidemic Models via Multinomial Approximations"

5 / 5 papers shown
Title
Sequential Bayesian inference for stochastic epidemic models of
  cumulative incidence
Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
Sam A. Whitaker
Andrew Golightly
Colin S. Gillespie
T. Kypraios
66
0
0
22 May 2024
Accelerating Bayesian inference for stochastic epidemic models using
  incidence data
Accelerating Bayesian inference for stochastic epidemic models using incidence data
Andrew Golightly
L. Wadkin
Sam A. Whitaker
A. Baggaley
N. G. Parker
T. Kypraios
58
6
0
27 Mar 2023
The Lifebelt Particle Filter for robust estimation from low-valued count
  data
The Lifebelt Particle Filter for robust estimation from low-valued count data
Alice Corbella
T. McKinley
Paul J. Birrell
A. Presanis
S. Spencer
Gareth O. Roberts
Daniela De Angelis
40
1
0
08 Dec 2022
Consistent and fast inference in compartmental models of epidemics using
  Poisson Approximate Likelihoods
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods
M. Whitehouse
N. Whiteley
Lorenzo Rimella
49
13
0
26 May 2022
Sequential Monte Carlo algorithms for agent-based models of disease
  transmission
Sequential Monte Carlo algorithms for agent-based models of disease transmission
Nianqiao P. Ju
J. Heng
Pierre E. Jacob
27
10
0
28 Jan 2021
1