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stat.ME2022
Performing global sensitivity analysis on simulations of a continuous-time Markov chain model motivated by epidemiology
Henri Mermoz Kouye, Gildas Mazo, Clémentine Prieur +1
In this paper we apply a methodology introduced in Navarro Jimenez et al (2016) in the framework of chemical reaction networks to perform a global sensitivity analysis on simulatio…
stat.ME2021
Inference in Gaussian state-space models with mixed effects for multiple epidemic dynamics
Romain Narci, Maud Delattre, Catherine Larédo +1
The estimation from available data of parameters governing epidemics is a major challenge. In addition to usual issues (data often incomplete and noisy), epidemics of the same natu…
stat.ME2013
Approximation of epidemic models by diffusion processes and their statistical inference
Romain Guy, Catherine Larédo, Elisabeta Vergu
Multidimensional continuous-time Markov jump processes on form a usual set-up for modeling -like epidemics. However, when facing incomplete epidemic da…