3 papers
stat.CO2026
Scaling Hawkes Processes
Seyoon Ko, Jasen Zhang, Andrew J. Holbrook
Hawkes processes (HP) are a large class of stochastic point process models scientists have used to analyze contagion phenomena ranging from earthquakes, infectious diseases and bio…
stat.CO2024
Scaling Hawkes processes to one million COVID-19 cases
Seyoon Ko, Marc A. Suchard, Andrew J. Holbrook
Hawkes stochastic point process models have emerged as valuable statistical tools for analyzing viral contagion. The spatiotemporal Hawkes process characterizes the speeds at which…
quant-ph2023
Quantum Speedups for Multiproposal MCMC
Chin-Yi Lin, Kuo-Chin Chen, Philippe Lemey +3
Multiproposal Markov chain Monte Carlo (MCMC) algorithms choose from multiple proposals to generate their next chain step in order to sample from challenging target distributions m…