5 citations · 15 across the 10 of their papers we have counts for
10 papers
Bridging Theory and Practice: Statistical Inference for Latent Space Models of Networks
Yuang Tian, Jiajin Sun, Yinqiu He
Latent space models have been widely adopted in modeling network data. Developing statistical inference for estimated model parameters enables quantifying associated uncertainty an…
Boosting multi-view association testing via devariation
Ruyi Pan, Yinqiu He, Jun Young Park
Understanding the interplay between high-dimensional data from different views is essential in biomedical research, particularly in fields such as genomics, neuroimaging and bioban…
Quantile Mediation Analytics
Canyi Chen, Yinqiu He, Huixia J. Wang +2
Mediation analytics help examine if and how an intermediate variable mediates the influence of an exposure variable on an outcome of interest. Quantiles, rather than the mean, of a…
Adaptive Bootstrap Tests for Composite Null Hypotheses in the Mediation Pathway Analysis
He Yinqiu, Song Peter X. -K., Xu Gongjun
Mediation analysis aims to assess if, and how, a certain exposure influences an outcome of interest through intermediate variables. This problem has recently gained a surge of atte…
Semiparametric Modeling and Analysis for Longitudinal Network Data
Yinqiu He, Jiajin Sun, Yuang Tian +2
We introduce a semiparametric latent space model for analyzing longitudinal network data. The model consists of a static latent space component and a time-varying node-specific bas…
On the Phase Transition of Wilk's Phenomenon
Yinqiu He, Bo Meng, Zhenghao Zeng +1
Wilk's theorem, which offers universal chi-squared approximations for likelihood ratio tests, is widely used in many scientific hypothesis testing problems. For modern datasets wit…
A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis
Yinqiu He, Zi Wang, Gongjun Xu
The likelihood ratio test is widely used in exploratory factor analysis to assess the model fit and determine the number of latent factors. Despite its popularity and clear statist…
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension
Yinqiu He, Tiefeng Jiang, Jiyang Wen +1
Multivariate linear regressions are widely used statistical tools in many applications to model the associations between multiple related responses and a set of predictors. To infe…
Asymptotically Independent U-Statistics in High-Dimensional Testing
Yinqiu He, Gongjun Xu, Chong Wu +1
Many high-dimensional hypothesis tests aim to globally examine marginal or low-dimensional features of a high-dimensional joint distribution, such as testing of mean vectors, covar…
Estimating Tail Probabilities of the Ratio of the Largest Eigenvalue to the Trace of a Wishart Matrix
Yinqiu He, Gongjun Xu
This paper develops an efficient Monte Carlo method to estimate the tail probabilities of the ratio of the largest eigenvalue to the trace of the Wishart matrix, which plays an imp…