Statistical Science

Self-Exciting Point Processes: Infections and Implementations

Sebastian Meyer

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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.”

Article information

Source
Statist. Sci., Volume 33, Number 3 (2018), 327-329.

Dates
First available in Project Euclid: 13 August 2018

Permanent link to this document
https://projecteuclid.org/euclid.ss/1534147225

Digital Object Identifier
doi:10.1214/18-STS653

Mathematical Reviews number (MathSciNet)
MR3843378

Zentralblatt MATH identifier
06991122

Keywords
Spatio-temporal modeling infectious disease epidemiology statistical software

Citation

Meyer, Sebastian. Self-Exciting Point Processes: Infections and Implementations. Statist. Sci. 33 (2018), no. 3, 327--329. doi:10.1214/18-STS653. https://projecteuclid.org/euclid.ss/1534147225


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See also

  • Main article: A Review of Self-Exciting Spatio-Temporal Point Processes and Their Applications.