Meyer S (2018)
Publication Type: Journal article
Publication year: 2018
Book Volume: 33
Pages Range: 327-329
Journal Issue: 3
DOI: 10.1214/18-sts653
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."
APA:
Meyer, S. (2018). Self-Exciting Point Processes: Infections and Implementations. Statistical Science, 33(3), 327-329. https://doi.org/10.1214/18-sts653
MLA:
Meyer, Sebastian. "Self-Exciting Point Processes: Infections and Implementations." Statistical Science 33.3 (2018): 327-329.
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