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Project
Robust inference and model selection techniques
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.
Date:1 Jan 2007 → 31 Dec 2009
Keywords:high-dimensional data, model selection
Disciplines:Visual computing, Distributed computing, Information systems, Information sciences, Applied mathematics in specific fields, Programming languages, Computer architecture and networks, Scientific computing, Statistics and numerical methods, Other information and computing sciences, Theoretical computer science