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Project
Advanced data analysis methods for tau-estimators
Development of model building, model selection, confidence intervals, testing, and prediction methods for the robust and efficient tau-estimators. Extend tau-estimators and robust LARS so that they can handle categorical covariates and missing data. Robust inference procedures will be based on robust and computationally efficient resampling methods.
Date:1 Mar 2013 → 31 Aug 2014
Keywords:categorical covariates, resampling methods, model selection, robust inference, missing data
Disciplines:Statistics and numerical methods, Applied mathematics in specific fields