Skip to main content
King Abdullah University of Science and Technology
Computer, Electrical and Mathematical Sciences and Engineering
CEMSE
Computer, Electrical and Mathematical Sciences and Engineering
  • Home
  • Study
    • Prospective Students
    • Current Students
    • Internship Opportunities
  • Research
    • Research Overview
    • Research Areas
    • Research Groups
  • Programs
    • Applied Mathematics and Computational Science
    • Computer Science
    • Electrical and Computer Engineering
    • Statistics
  • People
    • All People
    • Faculty
    • Affiliate Faculty
    • Instructional Faculty
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Students
    • Alumni
    • Administrative Staff
  • News
  • Events
  • About
    • Who We Are
    • Message from the Dean
    • Leadership Team
  • Apply

robust spatial inference

KAUST-CEMSE-STAT-STSDS-Sihan-Chen

On Computation and Robustness Issues in Spatial Statistics

Sihan Chen, Ph.D. Student, Statistics
Oct 30, 14:30 - 16:30

B2, L5, R5220

robust spatial inference computational methods spatial statistics

This thesis develops and evaluates robust statistical methods for the analysis and modeling of spatial data, with a focus on improving inference reliability in the presence of outliers and computational challenges.

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

Connect with us

Footer

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

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