Skip to main content

CEMSE Join Us

  • Join Us
    • Prospect Sign Up
    • Study at KAUST
    • Work at KAUST
    • CEMSE Openings
    • Internships
    • KAUST Alumni Community
    • Campus Life
  • Ask a Student

Top Header Form Menu

  • News
  • Events
Home

extstat

Extreme Statistics Research Group

extSTAT Main Navigation

  •  
  • About
  • Research
    • Research Highlights
  • People
    • All People
    • Professors
    • Students
    • Postdoctoral Fellows
    • Former Members
  • Publications
  • Teaching
  • Contacts

Interested in Joining the Extreme Statistics (extSTAT) Research Group?

We are currently accepting applications for Fall 2021.

Apply to KAUST

group photo
KAUST-CEMSE-STAT-ExtSTAT-research-group-photo
2022-10-20-STATISTICS-162-16-9-aspect-ratio.jpg
about research group

Prof​​. Raphael Huser's group focuses on two aspects of extreme statistics:

  1. Development of statistical models and inference methods for extreme events. Although the methodology might be applied in a wide range of contexts, we are mainly interested in the modeling of complex environmental extremes, such as floods, heat waves, wind speeds, etc. Important questions include the characterization of space-time dependence at extreme levels, the modeling and estimation of non-stationarity (in space and time), and the development of efficient inference methods to fit these extremal models to real data.​

  2. Development of efficien​t methods for large datasets. These include the development of inference a​pproaches for complicated extremal models (e.g., composite likelihoods, local likelihoods, etc.), the joint modeling of multiple parallel time series, or the spatial prediction for large datasets.

 

Latest News
Image
POLO

KAUST Ph.D. student’s paper recognized by the American Statistical Association

2023.03.27
Image
Ext_stat_Journal_Logo_3

Two new papers in Extremes

2023.01.19
Image
Professor Huser AEEI

Professor Huser receives the Abdel El-Shaarawi Early Investigator Award 2022

2022.11.20
Image
Rafael_KD_T0_Main

A skewed model for imbalanced health data

2022.11.10
Image
Statistics Workshop 2022

The KAUST 2022 Workshop on Statistics

2022.10.31
Image
ExtSTAT_Winter

New paper accepted in Spatial Statistics

2022.10.30
Image
ExtSTAT_EJS

New paper accepted in Electronic Journal of Statistics

2022.10.28Copula
Image
KAUST CEMSE STAT EXTSTAT Zhongwei Zhang DSC_6000

Congratulations to Zhongwei for successfully defending his PhD thesis

2022.10.25Multivariate extremes
  • Load More
View All News
Meet Our People
KAUST CEMSE Statistics Deepa Pinto
"The best way to find yourself, is to lose yourself in the service of others"
Deepa Pinto, Business Coordinator, Statistics
KAUST-CEMSE-STAT-ExtSTAT-Raphael-Huser
It is often low-probability extreme events, rather than averages, that lead to the biggest impacts. In the Extreme Statistics Research Group, we develop novel statistical methodology and machine learning methods to better understand and predict high-impact events in a wide range of applications ranging from climate and earth sciences, to finance, and neuroscience.
Raphaël Huser, Associate Professor, Statistics
KAUST-CEMSE-STAT-ExtSTAT-Xuanjie-Shao
Work hard, play hard.
Xuanjie Shao, PhD Student, Statistics
matheus_pic_thobe
Data Science is on the avant-garde for a better world. KAUST, with its multicultural environment, top-notch infrastructure, outstanding graduate programs and excellent faculty, presents an ideal atmosphere to turn its students into significant contributors in data science.
Matheus B. Guerrero, PhD Student, Statistics
KAUST-CEMSE-STAT-BIOSTATS-Paolo-Victor-Redondo-Profile-Picture
Research means that you don’t know, but are willing to find out.
- Charles F. Kettering
Paolo Victor Redondo, PhD Student, Statistics
View all People

KAUST SSO Login

CEMSE - Computer, Electrical and Mathematical Sciences and Engineering Division
  • Applied Mathematics and Computational Sciences (AMCS)
  • Computer Science (CS)
  • Electrical and Computer Engineering (ECE)
  • Statistics (STAT)
Biological and Environmental Sciences Engineering Division
  • Bioscience (B)
  • Bioengineering (BioE)
  • Environmental Science and Engineering (EnSE)
  • Marine Science (MarS)
  • Plant Science (PS)
Physical Science and Engineering Division
  • Applied Physics (AP)
  • Chemical and Biological Engineering (CBE)
  • Chemical Science (ChemS)
  • Earth Science and Engineering (ErSE)
  • Energy Resources and Petroleum Engineering (ErPE)
  • Material Science and Engineering (MSE)
  • Mechanical Engineering (ME)
Study
  • Apply to KAUST
  • MS Degree
  • PhD Degree
  • IDB-KAUST Scholarship
Expanding Knowledge
  • Enrichment Program Office
  • Alumni Affairs
  • KAUST Library
Student Affairs
  • Registrar’s Office
  • Graduate Services
Living in KAUST
  • Our Community
  • School and Daycare
  • Services
  • Accommodation
About KAUST
  • KAUST History
  • Our Videos
  • Interactive Map (Google Maps)
  • Interactive Map (KAUST Intranet)
  • KAUST Administration
  • Our Green Campus
  • KAUST Museum
  • Research at KAUST
  • Connecting Research & Industry
  • Faculty
  • Careers
  • Photo Galleries
  • Media Relations
  • Privacy Policy
Latest from KAUST
  • KAUST Stories
  • KAUST Events Calendar
  • The Beacon Newspaper
extSTAT Research Group
  • Our Videos on YouTube
  • Research at extSTAT
  • extSTAT Team
  • Careers at extSTAT

©2023 King Abdullah University of Science and Technology. All rights reserved. Privacy Policy ᛫ Terms of Use