Estimating CDMs Using the Slice-Within-Gibbs Sampler

In this paper, the slice-within-Gibbs sampler has been introduced as a method for estimating cognitive diagnosis models (CDMs). Compared with other Bayesian methods, the slice-within-Gibbs sampler can employ a wide-range of prior specifications; moreover, it can also be applied to complex CDMs with...

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Detalles Bibliográficos
Autores principales: Xu, Xin, de la Torre, Jimmy, Zhang, Jiwei, Guo, Jinxin, Shi, Ningzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545134/
https://www.ncbi.nlm.nih.gov/pubmed/33101108
http://dx.doi.org/10.3389/fpsyg.2020.02260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545134/
https://www.ncbi.nlm.nih.gov/pubmed/33101108
http://dx.doi.org/10.3389/fpsyg.2020.02260

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