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stat.ME2026
Efficient model exploration with the integrated nested Laplace approximation
Héctor López-Gómez, Virgilio Gómez-Rubio, Gonzalo García-Donato
Model and variable selection are important topics in Bayesian inference. In particular, the selection of different fixed, random effects and hyperparameters in hierarchical models…
stat.ME2022
Fitting Double Hierarchical Models with the Integrated Nested Laplace Approximation
Mabel Morales-Otero, Virgilio Gómez-Rubio, Vicente Núñez-Antón
Double hierarchical generalized linear models (DHGLM) are a family of models that are flexible enough as to model hierarchically the mean and scale parameters. In a Bayesian framew…