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Research map / Probabilistic and scientific modeling / Variational and generative sampling

Hawkes Processes with Stochastic Excitations

ICML 2016 · Probabilistic and scientific modeling › Variational and generative sampling · approach: Hamiltonian Monte Carlo · 17 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Model contagion levels Y as a stochastic process (GBM or exponential Langevin SDE) instead of constant or iid GammaHawkes process intensity · synthetic simulated event data (ground truth GBM vs iid Gamma)qualitative reproduction of ground-truth stylized factsHelped
Learn contagion levels Y as iid Gamma rather than GBM when ground truth is GBM (ablation)Stochastic Hawkes with iid Gamma levels · synthetic data with GBM ground truthqualitative reproduction of ground-truth dynamicsHurt
Use GBM rather than iid Gamma as the contagion model when ground truth is iid Gamma (ablation)Stochastic Hawkes with GBM levels · synthetic data with iid Gamma ground truthqualitative recovery of ground-truth propertiesHelped
Sampling algorithm for stochastic Hawkes replaces naive Ogata thinningSimulation of event sequences · generalcomputational complexity in number of events nHelped

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