Towards Inferring Network Properties from Epidemic Data
Istvan Z. Kiss,
Luc Berthouze,
Wasiur R. KhudaBukhsh
Abstract:Epidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and parameter inference. By using mean-field models, such as the pairwise model (PWM), the high-dimensionality becomes tractable. While such models have been used extensively for model analysis, there is limited work in the context of statistical inference. In this paper, we explore the extent to which the PW… Show more
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