Bayesian inference for a skew-normal IRT model under the centred parameterization
type: Item
instance of: scholarly article
title: Bayesian inference for a skew-normal IRT model under the centred parameterization
zbMATH Open document ID: 1247.62082
author: Dalton F. Andrade
author: Heleno Bolfarine
author: Caio L. N. Azevedo
published in: Computational Statistics and Data Analysis
publication date: 2012-09-15T00:00:00Z
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62P15
zbMATH DE Number: 6082980
zbMATH Keywords: item response theory
zbMATH Keywords: centred skew-normal
zbMATH Keywords: Bayesian estimation
zbMATH Keywords: model identifiability
zbMATH Keywords: MCMC algorithms
MaRDI profile type: Publication
full work available at URL: j.csda.2010.05.003
OpenAlex ID: W2093781180
cites work: The centred parametrization for the multivariate skew-normal distribution
cites work: Q3703094
cites work: Statistical Applications of the Multivariate Skew Normal Distribution
cites work: Item Response Theory
cites work: A skew item response model
cites work: MCMC estimation and some model-fit analysis of multidimensional IRT models
cites work: Bayesian estimation of a multilevel IRT model using Gibbs sampling
cites work: Q5480569
cites work: Q4681954
cites work: Noninformative priors for one-parameter item response models
cites work: Q3793504
cites work: Q4040931
cites work: Q4779059
cites work: Bayes modal estimation in item response models
cites work: Estimating latent distributions
cites work: Problems of inference for Azzalini's skewnormal distribution
cites work: A new class of multivariate skew distributions with applications to bayesian regression models
cites work: Departure from normal assumptions: A promise for future psychometrics with substantive mathematical modeling
cites work: Bayesian Measures of Model Complexity and Fit
cites work: The Calculation of Posterior Distributions by Data Augmentation
DOI: 10.1016/J.CSDA.2010.05.003
description: scientific article; zbMATH DE number 6082980