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stat.ME2022★ 1 cited
Fitting latent non-Gaussian models using variational Bayes and Laplace approximations
Rafael Cabral, David Bolin, Håvard Rue
Latent Gaussian models (LGMs) are perhaps the most commonly used class of models in statistical applications. Nevertheless, in areas ranging from longitudinal studies in biostatist…
stat.ME2022★ 1 cited
Controlling the flexibility of non-Gaussian processes through shrinkage priors
Rafael Cabral, David Bolin, Håvard Rue
The normal inverse Gaussian (NIG) and generalized asymmetric Laplace (GAL) distributions can be seen as skewed and semi-heavy-tailed extensions of the Gaussian distribution. Models…