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
    • Principal Investigators
    • Research Scientists
    • Postdoctoral Fellows
    • Students
    • All Profiles
    • Alumni
    • Former Members
  • Events
    • All Events
    • Events Calendar
  • News
  • About
  • Research
  • Software
  • Contact Us

extreme weather

How extreme weather exacerbates air pollution

1 min read · Tue, Sep 4 2018

News

statistics extreme weather air pollution xstat research highlights

Simultaneously modeling of air pollutants and weather under extreme conditions highlights the potential for serious health risks.

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]

Bayesian Computational Statistics and Modeling (BAYESCOMP)

Footer

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

© 2024 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice