89 citations · 455 across the 65 of their papers we have counts for
7 papers · 1 filter
A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis
Yuqi Gu, Gongjun Xu
Structured Latent Attribute Models (SLAMs) are a family of discrete latent variable models widely used in education, psychology, and epidemiology to model multivariate categorical…
Survival Analysis via Ordinary Differential Equations
Weijing Tang, Kevin He, Gongjun Xu +1
This paper introduces an Ordinary Differential Equation (ODE) notion for survival analysis. The ODE notion not only provides a unified modeling framework, but more importantly, als…
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…
Learning Large -matrix by Restricted Boltzmann Machines
Chengcheng Li, Chenchen Ma, Gongjun Xu
Estimation of the large -matrix in Cognitive Diagnosis Models (CDMs) with many items and latent attributes from observational data has been a huge challenge due to its high comp…
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
Chenchen Ma, Jimmy de la Torre, Gongjun Xu
A number of parametric and nonparametric methods for estimating cognitive diagnosis models (CDMs) have been developed and applied in a wide range of contexts. However, in the liter…
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…