scientific article; zbMATH DE number 7164715
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Publication:5214202
zbMath1434.68412arXiv1904.04378MaRDI QIDQ5214202
Publication date: 7 February 2020
Full work available at URL: https://arxiv.org/abs/1904.04378
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
penalized likelihood methodattribute patternshigh-dimensional configurationsstructured latent attribute models (SLAMs)
Estimation in multivariate analysis (62H12) Applications of statistics to social sciences (62P25) Learning and adaptive systems in artificial intelligence (68T05)
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Cites Work
- Unnamed Item
- Unnamed Item
- Asymptotic Behaviour of the Posterior Distribution in Overfitted Mixture Models
- Identifiability of diagnostic classification models
- Convergence rates of parameter estimation for some weakly identifiable finite mixtures
- The generalized DINA model framework
- Algebraic factor analysis: tetrads, pentads and beyond
- Defining a family of cognitive diagnosis models using log-linear models with latent variables
- Identifiability of parameters in latent structure models with many observed variables
- Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
- Bayesian estimation of the DINA \(Q\) matrix
- Consistency of variational Bayes inference for estimation and model selection in mixtures
- Rates of convergence for the Gaussian mixture sieve.
- Optimal rate of convergence for finite mixture models
- Probability inequalities for likelihood ratios and convergence rates of sieve MLEs
- Strong identifiability and optimal minimax rates for finite mixture estimation
- Identifiability of restricted latent class models with binary responses
- Estimating multiple classification latent class models
- Higher-order latent trait models for cognitive diagnosis
- Equivalent MIRID models
- The sufficient and necessary condition for the identifiability and estimability of the DINA Model
- Hierarchical diagnostic classification models: a family of models for estimating and testing attribute hierarchies
- A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models
- When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity
- Tensor decompositions for learning latent variable models
- Learning mixtures of spherical gaussians
- Extended Bayesian information criteria for model selection with large model spaces
- Non-uniqueness in probabilistic numerical identification of bacteria
- Identifying Latent Structures in Restricted Latent Class Models
- The <scp>DINA</scp> model as a constrained general diagnostic model: Two variants of a model equivalency
- Testing for a Finite Mixture Model with Two Components
- Skills and knowledge structures†
- Likelihood-Based Selection and Sharp Parameter Estimation
- Smoothed analysis of tensor decompositions
- A General Framework for Updating Belief Distributions
- OUP accepted manuscript
