Department of Applied Mathematics and Computational Science
King Abdullah University of Science and Technology
Prof HAAVARD RUE specialises computational Bayesian statistics and Bayesian. He is working as Professor in Department of Applied Mathematics and Computational Science, King Abdullah University of Science and Technology, Saudi Arabia.
"Professor Rue's research interests lie in computational Bayesian statistics and Bayesian methodology such as priors, sensitivity and robustness. His main body of research is built around the R-INLA project (www.r-inla.org), which aims to provide a practical tool for approximate Bayesian analysis of latent Gaussian models, often at extreme data scales. This project also includes efforts to use stochastic partial differential equations to represent Gaussian fields, for the use in spatial statistics. "
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).
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.