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stat.ML2024★ 1 cited
Flexible Parametric Inference for Space-Time Hawkes Processes
Emilia Siviero, Guillaume Staerman, Stephan Clémençon +1
Many modern spatio-temporal data sets, in sociology, epidemiology or seismology, for example, exhibit self-exciting characteristics, triggering and clustering behaviors both at the…
stat.ML2022
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
Guillaume Staerman, Cédric Allain, Alexandre Gramfort +1
Temporal point processes (TPP) are a natural tool for modeling event-based data. Among all TPP models, Hawkes processes have proven to be the most widely used, mainly due to their…