151 citations · 632 across the 84 of their papers we have counts for
7 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…
Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data
Chen Xu, Yao Xie
We develop a distribution-free, unsupervised anomaly detection method called ECAD, which wraps around any regression algorithm and sequentially detects anomalies. Rooted in conform…
Testing Rank of Incomplete Unimodal Matrices
Rui Zhang, Junting Chen, Yao Xie +2
Several statistics-based detectors, based on unimodal matrix models, for determining the number of sources in a field are designed. A new variance ratio statistic is proposed, and…
Solar Radiation Ramping Events Modeling Using Spatio-temporal Point Processes
Minghe Zhang, Chen Xu, Andy Sun +2
Modeling and predicting solar events, particularly the solar ramping event, is critical for improving situational awareness for solar power generation systems. It has been acknowle…
High-resolution Spatio-temporal Model for County-level COVID-19 Activity in the U.S
Shixiang Zhu, Alexander Bukharin, Liyan Xie +3
We present an interpretable high-resolution spatio-temporal model to estimate COVID-19 deaths together with confirmed cases one-week ahead of the current time, at the county-level…
Asynchronous Multi-Sensor Change-Point Detection for Seismic Tremors
Liyan Xie, Yao Xie, George V. Moustakides
We consider the sequential change-point detection for asynchronous multi-sensors, where each sensor observe a signal (due to change-point) at different times. We propose an asynchr…