Pages that link to "Item:Q1643435"

The following pages link to Bayesian estimation of the DINA \(Q\) matrix (Q1643435):

Displaying 44 items.

• Using neural network analysis to define methods of DINA model estimation for small sample sizes (Q269214) (← links)
• Incorporating student covariates in cognitive diagnosis models (Q269217) (← links)
• A general method of empirical Q-matrix validation (Q316746) (← links)
• The generalized DINA model framework (Q538803) (← links)
• A partial mastery, higher-order latent structural model for polytomous attributes in cognitive diagnostic assessments (Q779040) (← links)
• Inferring the number of attributes for the exploratory DINA model (Q823856) (← links)
• Model evaluation and multiple strategies in cognitive diagnosis: an analysis of fraction subtraction data (Q998832) (← links)
• Variational Bayes inference algorithm for the saturated diagnostic classification model (Q2065256) (← links)
• A unified theory of the completeness of Q-matrices for the DINA model (Q2075722) (← links)
• Exploratory restricted latent class models with monotonicity requirements under Pòlya-gamma data augmentation (Q2088917) (← links)
• Learning large \(Q\)-matrix by restricted Boltzmann machines (Q2088924) (← links)
• Direct estimation of diagnostic classification model attribute mastery profiles via a collapsed Gibbs sampling algorithm (Q2103572) (← links)
• Diagnostic classification analysis of problem-solving competence using process data: an item expansion method (Q2103580) (← links)
• A Gibbs sampling algorithm with monotonicity constraints for diagnostic classification models (Q2129301) (← links)
• An empirical Q-matrix validation method for the polytomous G-DINA model (Q2152422) (← links)
• A Gibbs sampling algorithm that estimates the \(Q\)-matrix for the DINA model (Q2176788) (← links)
• An exploratory diagnostic model for ordinal responses with binary attributes: identifiability and estimation (Q2177736) (← links)
• A sparse latent class model for cognitive diagnosis (Q2195815) (← links)
• Partial identifiability of restricted latent class models (Q2215726) (← links)
• A constrained Metropolis-Hastings Robbins-Monro algorithm for \(\boldsymbol{Q}\) matrix estimation in DINA models (Q2220368) (← links)
• Partial-mastery cognitive diagnosis models (Q2247501) (← links)
• Hypothesis testing of the \(Q\)-matrix (Q2318815) (← links)
• On the identifiability of diagnostic classification models (Q2331142) (← links)
• Estimating the cognitive diagnosis \(Q\) matrix with expert knowledge: application to the fraction-subtraction dataset (Q2331166) (← links)
• The sufficient and necessary condition for the identifiability and estimability of the DINA Model (Q2331176) (← links)
• Estimation of generalized DINA model with order restrictions (Q2628069) (← links)
• The <scp>DINA</scp> model as a constrained general diagnostic model: Two variants of a model equivalency (Q4614636) (← links)
• Estimating the DINA model parameters using the No‐U‐Turn Sampler (Q4634698) (← links)
• Sufficient and Necessary Conditions for the Identifiability of the $Q$-matrix (Q4986378) (← links)
• Cognitive diagnosis models for baseline testing of educational standards in math (Q5137988) (← links)
• Bayesian Double Feature Allocation for Phenotyping With Electronic Health Records (Q5146013) (← links)
• (Q5214202) (← links)
• A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis (Q6107244) (← links)
• Data‐driven Q‐matrix learning based on Boolean matrix factorization in cognitive diagnostic assessment (Q6127023) (← 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)
• 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)