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Project: Advanced data analysis methods for tau-estimators

project duration
01/03/13 – 31/08/13
abstract
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.