The Bayesian Computational Statistics and Modeling group (BayesComp) at King Abdullah University of Science and Technology (KAUST) involves research focusing on the modeling, design, optimization, and performance analysis of Bayesian modeling techniques. The group strives to develop generic solutions to real-life challenges for use by scientists from all fields. A particular feature of all approaches is the ability to scale to large datasets.
The methodologies and computational advances developed by the group is implemented in the R-INLA package (see http://www.r-inla.org).
Current focus areas are:
- Spatio-temporal models
- Survival analysis
- Bayesian fundamentals
- Parallelization of existing approaches in R-INLA