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Discussion on the paper by Rue, Martino and Chopin: Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

journal contribution
posted on 2024-11-16, 08:05 authored by John Ormerod, Matthew Wand
A commentary included in the article by Rue, Martino and Chopin "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations", Journal of the Royal Statistical Society: Series B (Statistical Methodology), 71(2), p319-392.

Funding

Generalised Linear Mixed Models: Theory, Methods and New Areas of Application

Australian Research Council

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Citation

Ormerod, J. T. & Wand, M. P.. (2009). Discussion on the paper by Rue, Martino and Chopin: Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations. Journal of the Royal Statistical Society Series B: Statistical Methodology, 71 (2), 377-378.

Journal title

Journal of the Royal Statistical Society Series B: Statistical Methodology

Volume

71

Issue

2

Pagination

377-378

Language

English

RIS ID

73836

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    Keywords

    inferencebayesianapproximatechopinmartinoruepaperapproximationsdiscussionlaplacenestedintegratedmodelsgaussianlatent

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    Copyright - All rights reserved

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