Bayesian Computational Statistics & Modeling
Welcome to Professor Haavard Rue's research group

Haavard Rue

Principal Investigator
​Professor​

Introduction

​intro here

Research Interests

​Research interests

Selected Publications

  • H. Rue. Fast sampling of Gaussian Markov random fields. Journal of the Royal Statistical Society, Series B,63(2):325–338, 2001.
  • H. Rue and L. Held. Gaussian Markov Random Fields: Theory and Applications, volume 104 of Monographs on Statistics and Applied Probability. Chapman & Hall, London, 2005.
  • H. Rue, S. Martino, and N. Chopin. Approximate Bayesian inference for latent Gaussian models using integrated nested Laplace approximations (with discussion). Journal of the Royal Statistical Society, Series B, 71(2):319–392, 2009.
  • F. Lindgren, H. Rue, and J. Lindström. An explicit link between Gaussian fields and Gaussian Markov random fields: The SPDE approach (with discussion). Journal of the Royal Statistical Society, Series B, 73(4):423–498, 2011b.
  • D. P. Simpson, H. Rue, A. Riebler, T. G. Martins, and S. H. Sørbye. Penalising model component complexity: A principled, practical approach to constructing priors (with discussion). Statistical Science, xx(xx):xx–xx,2017. (to appear).

Education

  • ​​MSc in Marin Hydrodynamics, 1988, NTH, Trondheim, Norway
  • PhD in Statistics, 1993, NTH, Trondheim, Norway
  • Faculty at the Department of Mathematical Sciences, NTNU, 1993-2016, Trondheim, Norway

Professional Profile

​​