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Stochastic Epidemic Models with Inference / Edited by Tom Britton, and Etienne Pardoux - Cham : Springer, 2019. - xviii, 472 p. ; 24 cm. PB - Mathematical Biosciences Subseries .

Part I Stochastic Epidemics in a Homogeneous Community. - Introduction. - Stochastic Epidemic Models. - Markov Models. - General Closed Models. - Open Markov Models. - Part II Stochastic SIR Epidemics in Structured Populations. - Introduction. - Single Population Epidemics. - The Households Model. - A General Two-Level Mixing Model. - Part III Stochastic Epidemics in a Heterogeneous Community. - Introduction. - Random Graphs. - The Reproduction Number R0. - SIR Epidemics on Configuration Model Graphs. - Statistical Description of Epidemics Spreading on Networks: The Case of Cuban HIV. - Part IV Statistical Inference for Epidemic Processes in a Homogeneous Community. - Introduction. - Observations and Asymptotic Frameworks. - Inference for Markov Chain Epidemic Models. - Inference Based on the Diffusion Approximation of Epidemic Models.- Inference for Continuous Time SIR models.


ISBN: 9783030308995

Subjects--Topical Terms:
Mathematic

Dewey Class. No.: 511.8 / BRI