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Title
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Simulation and analysis methods for stochastic compartmental epidemic models
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Author
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Abstract
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| This article considers simulation and analysis of incidence data using stochastic compartmental models in well-mixed populations. Several simulation approaches are described and compared. Thereafter, we provide an overview of likelihood estimation for stochastic models. We apply one such method to a real-life outbreak data set and compare models assuming different kinds of stochasticity. We also give references for other publications where detailed information on this topic can be found. |
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Language
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English
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Source (journal)
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Annual review of statistics and its application / Annual Reviews, Inc. - 2014, currens
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Publication
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Palo alto
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Annual reviews
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2021
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ISSN
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2326-8298
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DOI
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10.1146/ANNUREV-STATISTICS-061120-034438
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Volume/pages
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8
(2021)
, p. 69-88
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ISI
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000627718500004
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Full text (Publisher's DOI)
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Full text (open access)
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