185 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Electronic Science and Technology of ChinaCN23 papers
- Sichuan UniversityCN18 papers
- University of Hong KongHK11 papers
- London School of Economics and Political ScienceGB9 papers
- Southwest Jiaotong UniversityCN9 papers
- University of GroningenNL8 papers
- Hong Kong Polytechnic UniversityHK6 papers
- The University of MelbourneAU6 papers
- University of PittsburghUS6 papers
- Chengdu UniversityCN5 papers
- Chinese Academy of SciencesCN5 papers
- Hong Kong University of Science and TechnologyHK5 papers
16 papers · 1 filter
Ensemble methods for testing a global null
Yaowu Liu, Zhonghua Liu, Xihong Lin
Testing a global null is a canonical problem in statistics and has a wide range of applications. In view of the fact that no uniformly most powerful test exists, prior and/or domai…
Imputations for High Missing Rate Data in Covariates via Semi-supervised Learning Approach
Wei Lan, Xuerong Chen, Tao Zou +1
Advancements in data collection techniques and the heterogeneity of data resources can yield high percentages of missing observations on variables, such as block-wise missing data.…
Inward and Outward Network Influence Analysis
Yujia Wu, Wei Lan, Tao Zou +1
Measuring heterogeneous influence across nodes in a network is critical in network analysis. This paper proposes an Inward and Outward Network Influence (IONI) model to assess noda…
Modelling matrix time series via a tensor CP-decomposition
Jinyuan Chang, Jing He, Lin Yang +1
We consider to model matrix time series based on a tensor CP-decomposition. Instead of using an iterative algorithm which is the standard practice for estimating CP-decompositions,…
Evaluating Effectiveness of Public Health Intervention Strategies for Mitigating COVID-19 Pandemic
Shanghong Xie, Wenbo Wang, Qinxia Wang +2
Coronavirus disease 2019 (COVID-19) pandemic is an unprecedented global public health challenge. In the United States (US), state governments have implemented various non-pharmaceu…
Testing for unit roots based on sample autocovariances
Jinyuan Chang, Guanghui Cheng, Qiwei Yao
We propose a new unit-root test for a stationary null hypothesis against a unit-root alternative . Our approach is nonparametric as only assumes that the process c…
High-dimensional empirical likelihood inference
Jinyuan Chang, Song Xi Chen, Cheng Yong Tang +1
High-dimensional statistical inference with general estimating equations are challenging and remain less explored. In this paper, we study two problems in the area: confidence set…
Estimation of subgraph density in noisy networks
Jinyuan Chang, Eric D. Kolaczyk, Qiwei Yao
While it is common practice in applied network analysis to report various standard network summary statistics, these numbers are rarely accompanied by uncertainty quantification. Y…
Simultaneous Detection of Signal Regions Using Quadratic Scan Statistics With Applications in Whole Genome Association Studies
Zilin Li, Yaowu Liu, Xihong Lin
We consider in this paper detection of signal regions associated with disease outcomes in whole genome association studies. Gene- or region-based methods have become increasingly p…
Distributed Simultaneous Inference in Generalized Linear Models via Confidence Distribution
Lu Tang, Ling Zhou, Peter X. -K. Song
We propose a distributed method for simultaneous inference for datasets with sample size much larger than the number of covariates, i.e., N >> p, in the generalized linear models f…
Testing for high-dimensional white noise using maximum cross-correlations
Jinyuan Chang, Qiwei Yao, Wen Zhou
We propose a new omnibus test for vector white noise using the maximum absolute auto-correlations and cross-correlations of the component series. Based on the newly established app…
Confidence regions for entries of a large precision matrix
Jinyuan Chang, Yumou Qiu, Qiwei Yao +1
Precision matrices play important roles in many practical applications. Motivated by temporally dependent multivariate data in modern social and scientific studies, we consider the…
Comparing large covariance matrices under weak conditions on the dependence structure and its application to gene clustering
Jinyuan Chang, Wen Zhou, Wen-Xin Zhou +1
Comparing large covariance matrices has important applications in modern genomics, where scientists are often interested in understanding whether relationships (e.g., dependencies…
Principal component analysis for second-order stationary vector time series
Jinyuan Chang, Bin Guo, Qiwei Yao
We extend the principal component analysis (PCA) to second-order stationary vector time series in the sense that we seek for a contemporaneous linear transformation for a -varia…
A Factor-Adjusted Multiple Testing Procedure with Application to Mutual Fund Selection
Wei Lan, Lilun Du
In this article, we propose a factor-adjusted multiple testing (FAT) procedure based on factor-adjusted p-values in a linear factor model involving some observable and unobservable…
Estimation of Extreme Quantiles for Functions of Dependent Random Variables
Jinguo Gong, Yadong Li, Liang Peng +1
We propose a new method for estimating the extreme quantiles for a function of several dependent random variables. In contrast to the conventional approach based on extreme value t…