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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

26 May 2022
M. Whitehouse
N. Whiteley
Lorenzo Rimella
ArXivPDFHTML

Papers citing "Consistent and fast inference in compartmental models of epidemics using Poisson Approximate Likelihoods"

6 / 6 papers shown
Title
Inference in Stochastic Epidemic Models via Multinomial Approximations
Inference in Stochastic Epidemic Models via Multinomial Approximations
N. Whiteley
Lorenzo Rimella
29
10
0
24 Jun 2020
Can local particle filters beat the curse of dimensionality?
Can local particle filters beat the curse of dimensionality?
Patrick Rebeschini
R. Handel
99
239
0
28 Jan 2013
Compound Markov counting processes and their applications to modeling
  infinitesimally over-dispersed systems
Compound Markov counting processes and their applications to modeling infinitesimally over-dispersed systems
Carles Bretó
E. Ionides
89
44
0
28 Feb 2010
Stochastic epidemic models: a survey
Stochastic epidemic models: a survey
T. Britton
87
454
0
23 Oct 2009
Iterated filtering
Iterated filtering
E. Ionides
A. Bhadra
Yves F. Atchadé
A. King
106
146
0
02 Feb 2009
Approximate Bayesian computation scheme for parameter inference and
  model selection in dynamical systems
Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Tina Toni
David Welch
N. Strelkowa
Andreas Ipsen
M. Stumpf
231
1,546
0
14 Jan 2009
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