110 citations · 512 across the 40 of their papers we have counts for
11 papers · 1 filter
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…
Adjusting for non-confounding covariates in case-control association studies
Siliang Zhang, Jinbo Chen, Zhiliang Ying +1
There is a considerable literature in case-control logistic regression on whether or not non-confounding covariates should be adjusted for. However, only limited and ad hoc theoret…
Identifiability of Bifactor Models
Guanhua Fang, Xin Xu, Jinxin Guo +2
The bifactor model and its extensions are multidimensional latent variable models, under which each item measures up to one subdimension on top of the primary dimension(s). Despite…
On the Identifiability of Diagnostic Classification Models
Guanhua Fang, Jingchen Liu, Zhiliang Ying
This paper establishes fundamental results for statistical inference of diagnostic classification models (DCM). The results are developed at a high level of generality, applicable…
Chernoff Index for Cox Test of Separate Parametric Families
Xiaoou Li, Jingchen Liu, Zhiliang Ying
The asymptotic efficiency of a generalized likelihood ratio test proposed by Cox is studied under the large deviations framework for error probabilities developed by Chernoff. In p…
Oracle inequalities for the lasso in the Cox model
Jian Huang, Tingni Sun, Zhiliang Ying +2
We study the absolute penalized maximum partial likelihood estimator in sparse, high-dimensional Cox proportional hazards regression models where the number of time-dependent covar…