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20192022
most citedOnline Detection Of Supply Chain Network Disruptions Using Sequential Change-Point Detection for Hawkes Processes

2 citations · 5 across the 8 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 1 cited

Neural Spectral Marked Point Processes

Shixiang Zhu, Haoyun Wang, Zheng Dong +2

Self- and mutually-exciting point processes are popular models in machine learning and statistics for dependent discrete event data. To date, most existing models assume stationary…

stat.ML2021★ 1 cited

Sequential change-point detection for mutually exciting point processes over networks

Haoyun Wang, Liyan Xie, Yao Xie +2

We present a new CUSUM procedure for sequentially detecting change-point in the self and mutual exciting processes, a.k.a. Hawkes networks using discrete events data. Hawkes networ…