What is robust regression?
Robust regression is a statistical technique designed to be less sensitive to outliers than traditional regression methods.
How does it differ from ordinary least squares regression?
Unlike ordinary least squares, which minimizes the sum of squared residuals, robust regression minimizes a different loss function that reduces the influence of outliers.
Can you give me an example of when to use robust regression?
Sure! Use robust regression when your data contains outliers that could skew the results, such as in financial data analysis.
What are some common methods of robust regression?
Common methods include M-estimators, R-estimators, and S-estimators, each with different approaches to handling outliers.
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