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Why OLS Fails with Heavy-Tailed Data (And How to Make Your Linear Regression Survive Outliers)

Hey everyone, Standard Ordinary Least Squares (OLS) treats every observation as equally trustworthy, which means a few severe anomalies can entirely warp your decision boundary (as shown in the comparison visual here). To help students and practitioners moving past basic textbook models, I put toge…

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  1. 2026-09-28 17:39 · r/learnmachinelearning
    Why OLS Fails with Heavy-Tailed Data (And How to Make Your Linear Regression Survive Outliers)

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