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Rafael Cabral

1 paper here

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  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • stat.ME1

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most citedFitting latent non-Gaussian models using variational Bayes and Laplace approximations

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.