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Scalable estimation of temporal clustering in accelerometry: a kernel-independent dispersion index grounded in the Hawkes process

2026-06-15

Abstract excerpt

<h4>Background: </h4> Self-exciting (Hawkes) point processes are a natural model for the temporal clustering of human physical activity (PA) recorded by accelerometers, yet they have seldom been used in this setting---in part because the usual maximum-likelihood fitting is challenging due to potential estimation bias and convergence failures on these data. A moment-based alternative---estimating the Hawkes branchi...

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Literature Corpus work
c86def51-a7b6-5eba-ab92-65cc288a4e0e
DOI
10.64898/2026.06.14.26355611
Open publication

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Scalable estimation of temporal clustering in accelerometry: a kernel-independent dispersion index grounded in the Hawkes processDOI 10.64898/2026.06.14.26355611
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