151 citations · 632 across the 84 of their papers we have counts for
11 papers · 1 filter
Tensor Kernel Recovery for Spatio-Temporal Hawkes Processes
Heejune Sheen, Xiaonan Zhu, Yao Xie
We estimate the general influence functions for spatio-temporal Hawkes processes using a tensor recovery approach by formulating the location dependent influence function that capt…
Two-sample Test using Projected Wasserstein Distance
Jie Wang, Rui Gao, Yao Xie
We develop a projected Wasserstein distance for the two-sample test, a fundamental problem in statistics and machine learning: given two sets of samples, to determine whether they…
Sequential Change Detection by Optimal Weighted Divergence
Liyan Xie, Yao Xie
We present a new non-parametric statistic, called the weighed divergence, based on empirical distributions for sequential change detection. We start by constructing the we…
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…
On characteristic rank for matrix and tensor completion
Alexander Shapiro, Yao Xie, Rui Zhang
In this lecture note, we discuss a fundamental concept, referred to as the {\it characteristic rank}, which suggests a general framework for characterizing the basic properties of…
Goodness-of-Fit Test for Mismatched Self-Exciting Processes
Song Wei, Shixiang Zhu, Minghe Zhang +1
Recently there have been many research efforts in developing generative models for self-exciting point processes, partly due to their broad applicability for real-world application…