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August 2018 Self-Exciting Point Processes: Infections and Implementations
Sebastian Meyer
Statist. Sci. 33(3): 327-329 (August 2018). DOI: 10.1214/18-STS653

Abstract

This is a contribution to the discussion of Reinhart’s “Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications” [Statist. Sci. 33 (2018)], which synthesizes developments from various research fields. Here, I discuss some experiences from modeling the spread of infectious diseases. Furthermore, I try to complement the review with regard to the availability of software for the described models, which I think is essential in “paving the way for new uses.”

Citation

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Sebastian Meyer. "Self-Exciting Point Processes: Infections and Implementations." Statist. Sci. 33 (3) 327 - 329, August 2018. https://doi.org/10.1214/18-STS653

Information

Published: August 2018
First available in Project Euclid: 13 August 2018

zbMATH: 06991122
MathSciNet: MR3843378
Digital Object Identifier: 10.1214/18-STS653

Keywords: infectious disease epidemiology , spatio-temporal modeling , Statistical software

Rights: Copyright © 2018 Institute of Mathematical Statistics

Vol.33 • No. 3 • August 2018
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