31 research outputs found
Infinitesimally Robust Estimation in General Smoothly Parametrized Models
Full text linkWe describe the shrinking neighborhood approach of Robust Statistics, which
applies to general smoothly parametrized models, especially, exponential
families. Equal generality is achieved by object oriented implementation of the
optimally robust estimators. We evaluate the estimates on real datasets from
literature by means of our R packages ROptEst and RobLox
Multiresolution analysis of point processes and statistical thresholding for Haar wavelet-based intensity estimation
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Monitoring road traffic congestion using a macroscopic traffic model and a statistical monitoring scheme
No full textOn the impact of predictor geometry on the performance on high-dimensional ridge-regularized generalized robust regression estimators
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