68 citations · 166 across the 14 of their papers we have counts for
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stat.ME2026
Spatio-temporal coarse-grained Hawkes processes
Tomoya Uda, Shinsuke Koyama
Spatio-temporal Hawkes processes are widely used to model self-exciting event data, but conventional inference methods require access to the occurrence time and location of every e…
nlin.AO2026
Data-driven inference of Hopf normal form representations from oscillatory time series
Shinsuke Koyama, Ryota Kobayashi
We introduce a data-driven framework that maps noisy oscillatory time series directly onto the Hopf normal form, enabling inference of underlying dynamics without knowledge of gove…