34 citations · 67 across the 7 of their papers we have counts for
6 papers · 1 filter
A Note on Improving Variational Estimation for Multidimensional Item Response Theory
Chenchen Ma, Jing Ouyang, Chun Wang +1
Survey instruments and assessments are frequently used in many domains of social science. When the constructs that these assessments try to measure become multifaceted, multidimens…
Generally-Altered, -Inflated, -Truncated and -Deflated Regression, With Application to Heaped and Seeped Data
Thomas W. Yee, Chenchen Ma
Models such as the zero-inflated and zero-altered Poisson and zero-truncated binomial are well-established in modern regression analysis. We propose a super model that jointly and…
Hypothesis Testing for Hierarchical Structures in Cognitive Diagnosis Models
Chenchen Ma, Gongjun Xu
Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models widely used in educational, psychological and social sciences. In many applications of CDM…
Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
Chenchen Ma, Gongjun Xu
Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models that are widely used in modern educational, psychological, social and biological sciences.…
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…