Parameter estimation for the stochastic SIS epidemic model
Pan, Jiafeng and Gray, Alison and Greenhalgh, David and Mao, Xuerong (2014) Parameter estimation for the stochastic SIS epidemic model. Statistical Inference for Stochastic Processes, 17 (1). pp. 75-98. ISSN 1387-0874 (https://doi.org/10.1007/s11203-014-9091-8)
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Abstract
In this paper we estimate the parameters in the stochastic SIS epidemic model by using pseudo-maximum likelihood estimation (pseudo-MLE) and least squares estimation. We obtain the point estimators and 100(1 − α)% confidence intervals as well as 100(1 − α)% joint confidence regions by applying least squares techniques. The pseudo-MLEs have almost the same form as the least squares case. We also obtain the exact as well as the asymptotic 100(1 − α)% joint confidence regions for the pseudo-MLEs. Computer simulations are performed to illustrate our theory.
ORCID iDs
Pan, Jiafeng ORCID: https://orcid.org/0000-0001-5993-3209, Gray, Alison ORCID: https://orcid.org/0000-0002-6273-0637, Greenhalgh, David ORCID: https://orcid.org/0000-0001-5380-3307 and Mao, Xuerong ORCID: https://orcid.org/0000-0002-6768-9864;-
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Item type: Article ID code: 47253 Dates: DateEvent1 April 2014Published26 September 2013AcceptedSubjects: Science > Mathematics > Probabilities. Mathematical statistics Department: Strathclyde Business School
Faculty of Science > Mathematics and StatisticsDepositing user: Pure Administrator Date deposited: 25 Mar 2014 09:53 Last modified: 18 Nov 2024 01:07 URI: https://strathprints.strath.ac.uk/id/eprint/47253