35 citations · 39 across the 10 of their papers we have counts for
10 papers
Simultaneous Estimation and Group Identification for Network Vector Autoregressive Model with Heterogeneous Nodes
Xuening Zhu, Ganggang Xu, Jianqing Fan
Individuals or companies in a large social or financial network often display rather heterogeneous behaviors for various reasons. In this work, we propose a network vector autoregr…
Bias-correction and Test for Mark-point Dependence with Replicated Marked Point Processes
Ganggang Xu, Jingfei Zhang, Yehua Li +1
Mark-point dependence plays a critical role in research problems that can be fitted into the general framework of marked point processes. In this work, we focus on adjusting for ma…
Row-clustering of a Point Process-valued Matrix
Lihao Yin, Ganggang Xu, Huiyan Sang +1
Structured point process data harvested from various platforms poses new challenges to the machine learning community. By imposing a matrix structure to repeatedly observed marked…
Distributed Adaptive Nearest Neighbor Classifier: Algorithm and Theory
Ruiqi Liu, Ganggang Xu, Zuofeng Shang
When data is of an extraordinarily large size or physically stored in different locations, the distributed nearest neighbor (NN) classifier is an attractive tool for classification…
Second order semi-parametric inference for multivariate log Gaussian Cox processes
Kristian Bjørn Hessellund, Ganggang Xu, Yongtao Guan +1
This paper introduces a new approach to inferring the second order properties of a multivariate log Gaussian Cox process (LGCP) with a complex intensity function. We assume a semi-…
Group Network Hawkes Process
Guanhua Fang, Ganggang Xu, Haochen Xu +2
In this work, we study the event occurrences of individuals interacting in a network. To characterize the dynamic interactions among the individuals, we propose a group network Haw…
Nonparametric Inference under B-bits Quantization
Kexuan Li, Ruiqi Liu, Ganggang Xu +1
Statistical inference based on lossy or incomplete samples is often needed in research areas such as signal/image processing, medical image storage, remote sensing, signal transmis…
Learning Human Activity Patterns using Clustered Point Processes with Active and Inactive States
Jingfei Zhang, Biao Cai, Xuening Zhu +3
Modeling event patterns is a central task in a wide range of disciplines. In applications such as studying human activity patterns, events often arrive clustered with sporadic and…
Distributed Generalized Cross-Validation for Divide-and-Conquer Kernel Ridge Regression and its Asymptotic Optimality
Ganggang Xu, Zuofeng Shang, Guang Cheng
Tuning parameter selection is of critical importance for kernel ridge regression. To this date, data driven tuning method for divide-and-conquer kernel ridge regression (d-KRR) has…
Asymptotic optimality and efficient computation of the leave-subject-out cross-validation
Ganggang Xu, Jianhua Z. Huang
Although the leave-subject-out cross-validation (CV) has been widely used in practice for tuning parameter selection for various nonparametric and semiparametric models of longitud…