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04/03/2023
Identifiability of Cognitive Diagnosis Models with Polytomous Responses
Cognitive Diagnosis Models (CDMs) are a powerful statistical and psychom...
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02/22/2023
Incorporating External Risk Information with the Cox Model under Population Heterogeneity: Applications to Trans-Ancestry Polygenic Hazard Scores
Polygenic hazard score (PHS) models designed for European ancestry (EUR)...
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09/07/2022
High-dimensional Inference for Generalized Linear Models with Hidden Confounding
Statistical inferences for high-dimensional regression models have been ...
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08/05/2022
Partial-Mastery Cognitive Diagnosis Models
Cognitive diagnosis models (CDMs) are a family of discrete latent attrib...
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04/24/2022
Adaptive Tests for Bandedness of High-dimensional Covariance Matrices
Estimation of the high-dimensional banded covariance matrix is widely us...
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10/21/2021
DIF Statistical Inference and Detection without Knowing Anchoring Items
Establishing the invariance property of an instrument (e.g., a questionn...
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09/24/2021
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data
Mixed Membership Models (MMMs) are a popular family of latent structure ...
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06/06/2021
Hypothesis Testing for Hierarchical Structures in Cognitive Diagnosis Models
Cognitive Diagnosis Models (CDMs) are a special family of discrete laten...
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05/04/2021
A Note on Statistical Inference for Noisy Incomplete 1-Bit Matrix
We consider the statistical inference for noisy incomplete 1-bit matrix....
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04/23/2021
Regression Modeling for Recurrent Events Using R Package reReg
Recurrent event analyses have found a wide range of applications in biom...
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04/05/2021
Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
Cognitive Diagnosis Models (CDMs) are a special family of discrete laten...
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03/30/2021
A Tensor-EM Method for Large-Scale Latent Class Analysis with Clustering Consistency
Latent class models are powerful statistical modeling tools widely used ...
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03/27/2021
Identifiability of Latent Class Models with Covariates
Latent class models with covariates are widely used for psychological, s...
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09/09/2020
A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis
Structured Latent Attribute Models (SLAMs) are a family of discrete late...
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09/07/2020
Survival Analysis via Ordinary Differential Equations
This paper introduces a general framework for survival analysis based on...
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08/14/2020
A Note on the Likelihood Ratio Test in High-Dimensional Exploratory Factor Analysis
The likelihood ratio test is widely used in exploratory factor analysis ...
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08/13/2020
On the Phase Transition of Wilk's Phenomenon
Wilk's theorem, which offers universal chi-squared approximations for li...
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06/27/2020
Learning Large Q-matrix by Restricted Boltzmann Machines
Estimation of the large Q-matrix in Cognitive Diagnosis Models (CDMs) wi...
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06/27/2020
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
A number of parametric and nonparametric methods for estimating cognitiv...
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06/24/2020
Sequential Gibbs Sampling Algorithm for Cognitive Diagnosis Models with Many Attributes
Cognitive diagnosis models (CDMs) are useful statistical tools to provid...
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06/19/2019
Identification and Estimation of Hierarchical Latent Attribute Models
Hierarchical Latent Attribute Models (HLAMs) are a popular family of dis...
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04/08/2019
Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models
Structured latent attribute models (SLAMs) are a special family of discr...
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12/17/2018
Likelihood Ratio Test in Multivariate Linear Regression: from Low to High Dimension
Multivariate linear regressions are widely used statistical tools in man...
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10/09/2018
Sufficient and Necessary Conditions for the Identifiability of the Q-matrix
Restricted latent class models (RLCMs) have recently gained prominence i...
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09/02/2018
Asymptotically Independent U-Statistics in High-Dimensional Testing
Many high-dimensional hypothesis tests aim to globally examine marginal ...
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03/12/2018
Partial Identifiability of Restricted Latent Class Models
Latent class models have wide applications in social and biological scie...
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11/09/2017
Estimating Tail Probabilities of the Ratio of the Largest Eigenvalue to the Trace of a Wishart Matrix
This paper develops an efficient Monte Carlo method to estimate the tail...
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11/08/2017
