Skip to main content
King Abdullah University of Science and Technology
Bayesian Computational Statistics and Modeling
BAYESCOMP
Bayesian Computational Statistics and Modeling
Main navigation
  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Research Scientists
    • Postdoctoral Fellows
    • Students
    • Alumni
    • Former Members
  • Events
    • All Events
    • Events Calendar
  • News
  • About
  • Research
  • Software
  • Contact Us

spatio-temporal statistics

New paper accepted in JABES

1 min read · Tue, Jun 25 2019

Spotlight News

extreme weather spatio-temporal statistics Statistics of extremes

New accepted paper: Castro-Camilo, D., Huser, R., and Rue, H. (2019+), A spliced Gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting, Journal of Agricultural, Biological and Environmental Statistics, to appear [ PDF preprint]

Elias Teixeira Krainski

Research Scientist, Statistics

Bayesian computational statistics geospatial statistics spatio-temporal statistics

Elias' research focuses on efficient Bayesian methods for practical implementation, spatio and spatio-temporal statistics, INLA.

Bayesian Computational Statistics and Modeling (BAYESCOMP)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice