Robust inference and model selection techniques

01 January 2007 → 31 December 2009
Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics and numerical methods
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
high-dimensional data model selection
Project description

The development and study of robust inference techniques and robust methods for the construction and selection of statistical models. Robust methods and techniques for high-dimensional data will be developed. The level of robustness as well as efficient computation time are important factors in this process.