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most citedDriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals

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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…