Functional limit theorems for non-Markovian epidemic models
Author:
Affiliation:
1. The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, College of Engineering, Pennsylvania State University
2. Aix Marseille Univ, CNRS, I2M, Marseille, France
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference35 articles.
1. ALLEN, L. J. S. (2017). A primer on stochastic epidemic models: Formulation, numerical simulation, and analysis. Infect. Dis. Model. 2 128–142.
2. ANDERSON, R. M. and MAY, R. M. (1992). Infectious Diseases of Humans: Dynamics and Control. Oxford University Press, Oxford.
3. ANDERSSON, H. and BRITTON, T. (2000). Stochastic Epidemic Models and Their Statistical Analysis. Lecture Notes in Statistics 151. Springer, New York.
4. BALL, F. (1986). A unified approach to the distribution of total size and total area under the trajectory of infectives in epidemic models. Adv. in Appl. Probab. 18 289–310.
5. BALL, F. and CLANCY, D. (1993). The final size and severity of a generalised stochastic multitype epidemic model. Adv. in Appl. Probab. 25 721–736.
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