An efficient PG-INLA algorithm for the Bayesian inference of logistic item response models
In this paper, we propose a Bayesian PG-INLA algorithm which is tailored to both one-dimensional and multidimensional 2-PL IRT models. The proposed PG-INLA algorithm utilizes a computationally efficient data augmentation strategy via the Pólya-Gamma variables, which can avoid low computational effic...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-01-01
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| Series: | Statistical Theory and Related Fields |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/24754269.2024.2442174 |
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