Conference
Statistical Inference on a Stochastic Epidemic Model
Abstract
In this work, we develop statistical inference for the parameters of a discrete-time stochastic SIR epidemic model. We use a Markov chain for describing the dynamic behavior of the epidemic. Specifically, we propose estimators for the contact and removal rates based on the maximum likelihood and martingale methods, and establish their asymptotic distributions. The obtained results are applied in the statistical analysis of the basic …
Authors
Fierro R; Leiva V; Balakrishnan N
Volume
44
Pagination
pp. 2297-2314
Publisher
Taylor & Francis
Publication Date
October 21, 2015
DOI
10.1080/03610918.2013.835409
Conference proceedings
Communications in Statistics - Simulation and Computation
Issue
9
ISSN
0361-0918