Pages that link to "Item:Q1029512"

The following pages link to Defining a family of cognitive diagnosis models using log-linear models with latent variables (Q1029512):

Displaying 18 items.

• A diagnostic tree model for polytomous responses with multiple strategies (Q4627516) (← links)
• Sufficient and Necessary Conditions for the Identifiability of the $Q$-matrix (Q4986378) (← links)
• (Q5214202) (← links)
• Identifiability of Hierarchical Latent Attribute Models (Q6069489) (← links)
• A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis (Q6107244) (← links)
• A new person‐fit method based on machine learning in CDM in education (Q6127021) (← links)
• Variational Bayes inference for hidden Markov diagnostic classification models (Q6127070) (← links)
• Extending exploratory diagnostic classification models: Inferring the effect of covariates (Q6127092) (← links)
• Bridging parametric and nonparametric methods in cognitive diagnosis (Q6160307) (← links)
• Generic identifiability of the DINA model and blessing of latent dependence (Q6160314) (← links)
• A note on weaker conditions for identifying restricted latent class models for binary responses (Q6160316) (← links)
• Learning latent and hierarchical structures in cognitive diagnosis models (Q6160317) (← links)
• Scalable Bayesian approach for the DINA Q-matrix estimation combining stochastic optimization and variational inference (Q6160329) (← links)
• Identifiability of hidden Markov models for learning trajectories in cognitive diagnosis (Q6175678) (← links)
• Going deep in diagnostic modeling: deep cognitive diagnostic models (DeepCDMs) (Q6572330) (← links)
• Latent conjunctive Bayesian network: unify attribute hierarchy and Bayesian network for cognitive diagnosis (Q6616336) (← links)
• A diagnostic facet status model (DFSM) for extracting instructionally useful information from diagnostic assessment (Q6657604) (← links)
• Diagnostic classification models for testlets: methods and theory (Q6657609) (← links)