Follow
Yuqi Gu
Title
Cited by
Cited by
Year
The sufficient and necessary condition for the identifiability and estimability of the DINA model
Y Gu, G Xu
Psychometrika 84, 468-483, 2019
752019
Partial identifiability of restricted latent class models
Y Gu, G Xu
Annals of Statistics 48 (4), 2082-2107, 2020
642020
Sufficient and Necessary Conditions for the Identifiability of the Q-matrix
Y Gu, G Xu
Statistica Sinica 31, 449-472, 2021
472021
Learning attribute patterns in high-dimensional structured latent attribute models
Y Gu, G Xu
Journal of Machine Learning Research 20 (115), 1-58, 2019
312019
Identifiability of Hierarchical Latent Attribute Models
Y Gu, G Xu
Statistica Sinica 33 (4), 2561-2591, 2023
20*2023
Hypothesis testing of the Q-matrix
Y Gu, J Liu, G Xu, Z Ying
Psychometrika 83 (3), 515-537, 2018
142018
A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis
Y Gu, G Xu
Journal of the American Statistical Association 118 (541), 746-760, 2023
132023
Bayesian Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data
Y Gu, DB Dunson
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
122023
A tensor-EM method for large-scale latent class analysis with binary responses
Z Zeng, Y Gu, G Xu
Psychometrika 88 (2), 580-612, 2023
72023
Learning from similar linear representations: adaptivity, minimaxity, and robustness
Y Tian, Y Gu, Y Feng
arXiv preprint arXiv:2303.17765, 2023
52023
Dimension-grouped mixed membership models for multivariate categorical data
Y Gu, EA Erosheva, G Xu, DB Dunson
Journal of Machine Learning Research 24 (88), 1-49, 2023
52023
A Spectral Method for Identifiable Grade of Membership Analysis with Binary Responses
L Chen, Y Gu
Psychometrika, 2024
32024
Generic Identifiability of the DINA Model and Blessing of Latent Dependence
Y Gu
Psychometrika 88 (1), 117-131, 2023
32023
Statistical Analysis of Structured Latent Attribute Models
Y Gu
University of Michigan, 2020
12020
Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables
Y Gu
Bernoulli, 2024
2024
Degree-heterogeneous Latent Class Analysis for High-dimensional Discrete Data
Z Lyu, L Chen, Y Gu
arXiv preprint arXiv:2402.18745, 2024
2024
New directions in algebraic statistics: Three challenges from 2023
Y Alexandr, M Bakenhus, M Curiel, SK Deshpande, E Gross, Y Gu, M Hill, ...
arXiv preprint arXiv:2402.13961, 2024
2024
Latent Conjunctive Bayesian Network: Unify Attribute Hierarchy and Bayesian Network for Cognitive Diagnosis
S Lee, Y Gu
Annals of Applied Statistics, 2024
2024
New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data
S Lee, Y Gu
Preprint, 2023
2023
Discussion of "Vintage Factor Analysis with Varimax Performs Statistical Inference" by Rohe & Zeng
Y He, Y Gu, Z Ying
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
2023
The system can't perform the operation now. Try again later.
Articles 1–20