Pages that link to "Item:Q2195815"
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The following pages link to A sparse latent class model for cognitive diagnosis (Q2195815):
Displaying 22 items.
- A nonparametric approach to cognitive diagnosis by proximity to ideal response patterns (Q269220) (← links)
- Inferring the number of attributes for the exploratory DINA model (Q823856) (← links)
- Using penalized EM algorithm to infer learning trajectories in latent transition CDM (Q823864) (← links)
- Defining a family of cognitive diagnosis models using log-linear models with latent variables (Q1029512) (← links)
- Regularized latent class analysis with application in cognitive diagnosis (Q1682442) (← links)
- Exploratory restricted latent class models with monotonicity requirements under Pòlya-gamma data augmentation (Q2088917) (← links)
- Identifiability of latent class models with covariates (Q2103568) (← links)
- Direct estimation of diagnostic classification model attribute mastery profiles via a collapsed Gibbs sampling algorithm (Q2103572) (← links)
- A Gibbs sampling algorithm with monotonicity constraints for diagnostic classification models (Q2129301) (← links)
- A constrained Metropolis-Hastings Robbins-Monro algorithm for \(\boldsymbol{Q}\) matrix estimation in DINA models (Q2220368) (← links)
- A restricted four-parameter IRT model: the dyad four-parameter normal ogive (Dyad-4PNO) model (Q2220532) (← links)
- Identifiability of Hierarchical Latent Attribute Models (Q6069489) (← links)
- A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis (Q6107244) (← links)
- Variational Bayes inference for hidden Markov diagnostic classification models (Q6127070) (← links)
- Extending exploratory diagnostic classification models: Inferring the effect of covariates (Q6127092) (← links)
- A sequential exploratory diagnostic model using a Pólya‐gamma data augmentation strategy (Q6145041) (← 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)
- 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)
- Bayesian inference for an unknown number of attributes in restricted latent class models (Q6175693) (← links)
- Going deep in diagnostic modeling: deep cognitive diagnostic models (DeepCDMs) (Q6572330) (← links)
