1 citations · 1 across the 2 of their papers we have counts for
5 papers
Point processes with event time uncertainty
Xiuyuan Cheng, Tingnan Gong, Yao Xie
Point processes are widely used statistical models for continuous-time discrete event data, such as medical records, crime reports, and social network interactions, to capture the…
Higher-criticism for sparse multi-stream change-point detection
Tingnan Gong, Alon Kipnis, Yao Xie
We study a statistical procedure based on higher criticism (HC) to address the sparse multi-stream quickest change-point detection problem. Namely, we aim to detect a potential cha…
Distribution-Free Online Change Detection for Low-Rank Images
Tingnan Gong, Seong-Hee Kim, Yao Xie
We present a distribution-free CUSUM procedure designed for online change detection in a time series of low-rank images, particularly when the change causes a mean shift. We repres…
Quick and Consistent Sparsity Estimation for Streaming Images with Noise
Tingnan Gong
Given fruitful works in the image monitoring, there is a lack of data-driven tools guiding the practitioners to select proper monitoring procedures. The potential model mismatch ca…
An Environmentally-Adaptive Hawkes Process with An Application to COVID-19
Tingnan Gong, Yu Chen, Weiping Zhang
We proposed a new generalized model based on the classical Hawkes process with environmental multipliers, which is called an environmentally-adaptive Hawkes (EAH) model. Compared t…