Bayesian Computational Statistics and Modeling Research Group Front Page The BAYESCOMP research group, led by Professor Haavard Rue, focuses on developing state-of-the-art methods for modern Bayesian data analysis. The BAYESCOMP group develops statistical and computational methodology for efficient and accurate approximate Bayesian analysis of complex latent Gaussian models, often at extreme data scales. Their research bridges statistical theory and high-performance computation, with applications ranging from spatial modeling to modern psychometrics.
