Guy Medal in Silver, Royal Statistical Society, 2021

Member of the Norwegian Academy of Science and Letters , Norwegian Academy of Science and Letters , 2013

Member of the Norwegian Academy of Technological Sciences, Norwegian Academy of Technological Sciences, 2015

Member of the Royal Norwegian Society of Science and Letters, Royal Norwegian Society of Science and Letters, 2007

Elected member of the International Statistical Institute (ISI), International Statistical Institute (ISI), 2015

Bahadur Memorial Lecture, Univ of Chicago, 2018

H. Rue, S. Martino, and N. Chopin. “Approximate Bayesian Inference for Latent Gaussian Models Using Integrated Nested Laplace Approximations (with dis-cussion)”. In: Journal of the Royal Statistical Society, Series B 71.2 (2009), pp. 319–392.

F. Lindgren, H. Rue, and J. Lindström. “An explicit link between Gaussian fields and Gaussian Markov random fields: The SPDE approach (with discussion)”. In: Journal of the Royal Statistical Society, Series B 73.4 (2011), pp. 423–498.

D. Simpson, J. Illian, F. Lindgren, S. Sørbye, and H. Rue. “Going off grid: Com-putational efficient inference for log-Gaussian Cox processes”. In: Biometrika 103.1 (2016). (doi: 10.1093/biomet/asv064), pp. 1–22.

D. P. Simpson, H. Rue, T. G. Martins, A. Riebler, and S. H. Sørbye. Penalising model component complexity: A principled, practical approach to constructing priors. arXiv:1403.4630 (revised in 2015). NTNU, Trondheim, Norway, 2014.

H. Rue and L. Held. Gaussian Markov Random Fields: Theory and Applications. Vol. 104. Monographs on Statistics and Applied Probability. London: Chapman & Hall, 2005.