4 citations · 9 across the 7 of their papers we have counts for
3 papers · 1 filter
Tides Need STEMMED: A Locally Operating Spatio-Temporal Mutually Exciting Point Process with Dynamic Network for Improving Opioid Overdose Death Prediction
Che-Yi Liao, Gian-Gabriel P. Garcia, Kamran Paynabar +3
We develop a Spatio-TEMporal Mutually Exciting point process with Dynamic network (STEMMED), i.e., a point process network wherein each node models a unique community-drug event st…
Non-stationary spatio-temporal point process modeling for high-resolution COVID-19 data
Zheng Dong, Shixiang Zhu, Yao Xie +2
Most COVID-19 studies commonly report figures of the overall infection at a state- or county-level. This aggregation tends to miss out on fine details of virus propagation. In this…
Multi-resolution spatio-temporal prediction with application to wind power generation
Zheng Dong, Hanyu Zhang, Shixiang Zhu +2
Wind energy is becoming an increasingly crucial component of a sustainable grid, but its inherent variability and limited predictability present challenges for grid operators. The…