Partial identifiability of restricted latent class models

DOI10.1214/19-AOS1878zbMath1473.62044arXiv1803.04353OpenAlexW3049520960MaRDI QIDQ2215726

Yuqi Gu, Gongjun Xu

Publication date: 14 December 2020

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1803.04353

zbMATH Keywords

identifiabilitydesign matrixcognitive diagnosis\(Q\)-matrixrestricted latent class models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory of statistical distributions (62E10) Applications of statistics to psychology (62P15)

Related Items (15)

A Gibbs sampling algorithm with monotonicity constraints for diagnostic classification models ⋮ Identifiability of Hierarchical Latent Attribute Models ⋮ A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis ⋮ Complete Q‐matrices in conjunctive models on general attribute structures ⋮ Bridging parametric and nonparametric methods in cognitive diagnosis ⋮ Generic identifiability of the DINA model and blessing of latent dependence ⋮ A note on weaker conditions for identifying restricted latent class models for binary responses ⋮ Partial-mastery cognitive diagnosis models ⋮ Hypothesis testing of the \(Q\)-matrix ⋮ A unified theory of the completeness of Q-matrices for the DINA model ⋮ Exploratory restricted latent class models with monotonicity requirements under Pòlya-gamma data augmentation ⋮ Learning large \(Q\)-matrix by restricted Boltzmann machines ⋮ Identifiability of latent class models with covariates ⋮ Direct estimation of diagnostic classification model attribute mastery profiles via a collapsed Gibbs sampling algorithm ⋮ Diagnostic classification analysis of problem-solving competence using process data: an item expansion method

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