On goodness‐of‐fit testing for self‐exciting point processes

Abstract Despite the wide usage of parametric point processes in theory and applications, a sound goodness‐of‐fit procedure to test whether a given parametric model is appropriate for data coming from a self‐exciting point process has been missing in the literature. In this work, we establish a bootstrap‐based goodness‐of‐fit test that empirically works for all kinds of self‐exciting point processes (and even beyond). In an infill‐asymptotic setting, we also prove its asymptotic consistency, albeit only in the particular case that the underlying point process is inhomogeneous Poisson.

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Publication Details

Journal
Scandinavian Journal of Statistics
Published
2025-11-11
DOI
https://doi.org/10.1111/sjos.70029
Primary Topic
Point processes and geometric inequalities
Type
article
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article

On goodness‐of‐fit testing for self‐exciting point processes

Mathias Vetter, José Kling
Scandinavian Journal of Statistics
Point processes and geometric inequalities
article

On goodness‐of‐fit testing for self‐exciting point processes

Mathias Vetter, José Kling
article en

Abstract

Abstract Despite the wide usage of parametric point processes in theory and applications, a sound goodness‐of‐fit procedure to test whether a given parametric model is appropriate for data coming from a self‐exciting point process has been missing in the literature. In this work, we establish a bootstrap‐based goodness‐of‐fit test that empirically works for all kinds of self‐exciting point processes (and even beyond). In an infill‐asymptotic setting, we also prove its asymptotic consistency, albeit only in the particular case that the underlying point process is inhomogeneous Poisson.

Scandinavian Journal of StatisticsVol. 53(1)
Christian-Albrechts-Universität zu Kiel (DE), GEOMAR Helmholtz Centre for Ocean Research Kiel (DE)
Openalex Percentile: Top 54%
Point processes and geometric inequalities
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