Rekodi ya ushahidi wa mbinu

Robust Linear Regression

Robust linear regression fits a linear model between predictors and a continuous outcome while down-weighting or discarding influential outliers, preventing the few anomalous observations that OLS is famously sensitive to from distorting the entire estimated line. Major variants include Huber regression, iteratively reweighted least squares (IRLS), RANSAC, and Theil-Sen estimation.

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Robust Linear Regression (Outlier-Resistant Estimation)

Rekodi ya mbinu ya kiajenda · ml-model / machine-learning

Huber, P. J. (1964). Robust Estimation of a Location Parameter. Annals of Mathematical Statistics, 35(1), 73–101. · DOI 10.1214/aoms/1177703732
Rousseeuw, P. J. & Leroy, A. M. (1987). Robust Regression and Outlier Detection. Wiley. · ISBN 978-0-471-85233-9

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