1 citations · 2 across the 5 of their papers we have counts for
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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…
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…
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…