Tag: robust-statistics
Concepts
- Additive Versus Innovation Outliers in Time Series
- Bounded-Influence Regression and Leverage Downweighting
- Gaussian Rank Correlation for Robust Covariance
- Hampel's Three-Part Estimator and Tuning Constants
- Huber and Robust Loss Functions
- Huber Robust Estimation
- Huber's Contamination Model
- Influence Functions and the Breakdown Point
- Iteratively Reweighted Least Squares
- Least Trimmed Squares and Least Median of Squares
- M-Estimation
- Minimum Covariance Determinant Estimation
- MM-Estimators for Regression
- Orthogonalized Gnanadesikan-Kettenring Covariance
- Outlier Detection and Winsorization
- Outlier-Resistant Mean and Covariance Inputs
- Range Value at Risk
- RANSAC and Robust Model Fitting
- Robust PCA
- Robust Scale Estimators: Qn and Sn
- Robust Scaling with Median and IQR
- Robust Summary Statistics: Median and MAD
- The Robustness Versus Efficiency Tradeoff
- S-Estimators for High-Breakdown Regression
- The Median-of-Means Estimator
- The Sandwich Variance Estimator for M-Estimators
- Tukey's Biweight and Redescending Psi Functions