Introduction
What this guide covers
Introduction High Dimensional Mathematical Statistics
Overview
Topics covered
- Introduction
- Robust Multivariate Methods for Statistics and Learning
- General robustness theory and collapse point
- 1.1 The Influence Function (IF)
- 1.2 Breakdown Point
- Robust univariate localization and dispersion estimators
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
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\mathcal{F}_\epsilon = \left\{ F : F = (1 - \epsilon)F_0 + \epsilon G \right\}