15 citations · 21 across the 6 of their papers we have counts for
10 papers
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…
Sequential Gibbs Sampling Algorithm for Cognitive Diagnosis Models with Many Attributes
Juntao Wang, Ningzhong Shi, Xue Zhang +1
Cognitive diagnosis models (CDMs) are useful statistical tools to provide rich information relevant for intervention and learning. As a popular approach to estimate and make infere…
Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models
Yuqi Gu, Gongjun Xu
Structured latent attribute models (SLAMs) are a special family of discrete latent variable models widely used in social and biological sciences. This paper considers the problem o…
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…
Sufficient and Necessary Conditions for the Identifiability of the -matrix
Yuqi Gu, Gongjun Xu
Restricted latent class models (RLCMs) have recently gained prominence in educational assessment, psychiatric evaluation, and medical diagnosis. Different from conventional latent…
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…