KAUST Professor of Statistics Håvard Rue has been honored by the Royal Statistical Society (RSS) for his "substantial and significant contributions in the area of efficient and scalable computational techniques for the data analysts' toolbox."
"I am delighted to see Professor Rue's outstanding research being recognised by the RSS in this way. Håvard is one of the stars of the excellent Statistics faculty team that we have at KAUST, of whom we are justly proud," Professor Donal Bradley, Vice President of Research said.
Rue has been formally honored with the Guy Medal in Silver for 2021. The Medal is awarded to a Fellow of the Society in respect of a paper or papers of special merit communicated to the Society at its discussion meetings. The RSS intends to recognize Rue and his co-awardees during the Society's Annual Conference in Manchester on Tuesday September 7, 2021.
Substantial and significant contributions
Rue has been honored specifically for the theory underpinning the INLA (integrated nested Laplace approximation) software. His contributions include two highly influential and impactful papers read before the society: "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations" (co-authors: S Martino and N Chopin) and "An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach" (co-authors: F Lindgren and J Lindström).
"KAUST is extraordinarily proud of the accomplishments of Professor Håvard Rue. This recognition from the Royal Statistical Society is reflective of the technical excellence and impact of his research," said Lawrence Carin, KAUST Provost. "The INLA methodology has made a significant contribution for the practical implementation of Bayesian techniques, via its accuracy and computational efficiency. We are excited for Professor Rue, and we look forward to his continued creativity and impact."
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