A Gibbs sampler for the multidimensional four-parameter logistic item response model via a data augmentation scheme.

Fu, Zhihui; Zhang, Susu; Su, Ya-Hui; Shi, Ningzhong; Tao, Jian

Fu, Zhihui; Zhang, Susu; Su, Ya-Hui; Shi, Ningzhong; Tao, Jian.

Afiliación

Fu Z; Department of Statistics, School of Mathematics and Statistics, Minnan Normal University, Zhangzhou, Fujian, China.
Zhang S; Key Laboratory for Applied Statistics of MOE, School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, China.
Su YH; Departments of Psychology and Statistics, University of Illinois at Urbana-Champaign, IL, USA.
Shi N; Department of Psychology, National Chung Cheng University, Chiayi County, Taiwan.
Tao J; Key Laboratory for Applied Statistics of MOE, School of Mathematics and Statistics, Northeast Normal University, Changchun, Jilin, China.

Br J Math Stat Psychol ; 74(3): 427-464, 2021 11.

Article en En | MEDLINE | ID: mdl-34002857

Asunto(s)

Algoritmos; Modelos Estadísticos; Teorema de Bayes; Simulación por Computador; Modelos Logísticos

Palabras clave

Bayes estimation; Gibbs sampling; data augmentation; deviance information criterion; multidimensional four-parameter logistic item response theory model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Modelos Estadísticos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Br J Math Stat Psychol Año: 2021 Tipo del documento: Article País de afiliación: China

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