Bootstrap estimation of uncertainty in prediction for generalized linear mixed models
Contributeurs/tricesFlores-Agreda, Daniel; Cantoni, Eva
Publié dansComputational Statistics & Data Analysis, vol. 130, p. 1-17
Date de publication2019
Résumé
Mots-clés
- Bootstrap
- GLMM
- Prediction
- Random effects
- MSEP
- Laplace approximation
Structure d'affiliation
Citation (format ISO)
FLORES-AGREDA, Daniel, CANTONI, Eva. Bootstrap estimation of uncertainty in prediction for generalized linear mixed models. In: Computational Statistics & Data Analysis, 2019, vol. 130, p. 1–17. doi: 10.1016/j.csda.2018.08.006
Fichiers principaux (1)
Article (Accepted version)
Identifiants
- PID : unige:108941
- DOI : 10.1016/j.csda.2018.08.006
ISSN du journal0167-9473