2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Accelerating Bayesian inference of dependency between complex biological traits
Zhenyu Zhang, Akihiko Nishimura, Nídia S. Trovão +5
Inferring dependencies between complex biological traits while accounting for evolutionary relationships between specimens is of great scientific interest yet remains infeasible wh…