Pages that link to "Item:Q1424600"
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The following pages link to Exploring the posterior of a hierarchical IRT model for item effects (Q1424600):
Displaying 11 items.
- High performance Gibbs sampling for IRT models using row-wise decomposition (Q355520) (← links)
- A MCMC-method for models with continuous latent responses (Q463110) (← links)
- Random item IRT models (Q998828) (← links)
- A GPU-based Gibbs sampler for a unidimensional IRT model (Q1727811) (← links)
- A Bayesian generalized multiple group IRT model with model-fit assessment tools (Q1927226) (← links)
- A comparison of Monte Carlo methods for computing marginal likelihoods of item response theory models (Q2178162) (← links)
- Gibbs samplers for logistic item response models via the Pólya-gamma distribution: a computationally efficient data-augmentation strategy (Q2331168) (← links)
- The asymptotic posterior normality of the latent trait in an IRT model (Q2367533) (← links)
- Prior Distributions for Item Parameters in IRT Models (Q3167833) (← links)
- Using Stan to implement Bayesian parameter estimation of IRT models (Q3385863) (← links)
- Exploring the effects of item-specific factors in sequential and IRTree models (Q6057036) (← links)
