Research

Publications and Preprints

    • Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables
      Gu, Y.
      arXiv preprint (2022)
      [arXiv]
    • Going Deep in Diagnostic Modeling: DeepCDMs
      Gu, Y.
      Preprint (2022)
      [PDF]
    • Generic Identifiability of the DINA Model and Blessing of Latent Dependence
      Gu, Y.
      Psychometrika (2022), accepted.
      [Journal] [PDF]
    • Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data
      Gu, Y., Erosheva, E.A., Xu, G., and Dunson, D.B.
      arXiv preprint (2022)
      [arXiv]
    • Bayesian Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data
      Gu, Y., and Dunson, D.B.
      arXiv preprint (2022)
      [arXiv]
    • A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses
      Zeng, Z., Gu, Y., and Xu, G.
      Psychometrika (2022), accepted.
      [arXiv] [Journal]
    • A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis
      Gu, Y., and Xu, G.
      Journal of the American Statistical Association: Theory and Methods (2022), accepted.
      [arXiv] [Journal]
    • Identifiability of Hierarchical Latent Attribute Models
      Gu, Y., and Xu, G.
      Statistica Sinica (2022), accepted.
      [arXiv] [Journal]
    • Sufficient and Necessary Conditions for the Identifiability of the Q-matrix
      Gu, Y., and Xu, G.
      Statistica Sinica (2021), 31: 449–472.
      [arXiv] [Journal]
    • Partial Identifiability of Restricted Latent Class Models
      Gu, Y., and Xu, G.
      Annals of Statistics (2020), 48 (4): 2082–2107.
      [arXiv] [Journal]
    • Learning Attribute Patterns in High-dimensional Structured Latent Attribute Models
      Gu, Y., and Xu, G.
      Journal of Machine Learning Research (2019), 20 (1): 1–58.
      [arXiv] [Journal]
    • The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model
      Gu, Y., and Xu, G.
      Psychometrika (2019), 84 (2): 468–483.
      [arXiv] [Journal]
    • Hypothesis Testing of the Q-matrix
      Gu, Y., Liu, J., Xu, G., and Ying, Z.
      Psychometrika (2018), 83 (3): 515–537.
      [Journal]