Comparative evaluation of point process forecasts

Brehmer, Jonas R., Gneiting, Tilmann, Herrmann, Marcus, Marzocchi, Warner, Schlather, Martin and Strokorb, Kirstin ORCID: https://orcid.org/0000-0001-8748-3014 2024. Comparative evaluation of point process forecasts. Annals of the Institute of Statistical Mathematics 76 (1) , pp. 47-71. 10.1007/s10463-023-00875-5 Item availability restricted.

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Abstract

Stochastic models of point patterns in space and time are widely used to issue forecasts or assess risk, and often they affect societally relevant decisions. We adapt the concept of consistent scoring functions and proper scoring rules, which are statistically principled tools for the comparative evaluation of predictive performance, to the point process setting, and place both new and existing methodology in this framework. With reference to earthquake likelihood model testing, we demonstrate that extant techniques apply in much broader contexts than previously thought. In particular, the Poisson log-likelihood can be used for theoretically principled comparative forecast evaluation in terms of cell expectations. We illustrate the approach in a simulation study and in a comparative evaluation of operational earthquake forecasts for Italy.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Mathematics
Publisher:	Springer
ISSN:	0020-3157
Date of First Compliant Deposit:	28 June 2023
Date of Acceptance:	9 May 2023
Last Modified:	15 Jan 2024 16:35
URI:	https://orca.cardiff.ac.uk/id/eprint/160673

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