to do in reg
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@@ -2558,6 +2558,13 @@ The difference is non-negative definite since each component of the
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matrix product is non-negative definite.
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This means the variance we obtain with the standard OLS will always for $\lambda > 0$ be larger than the variance of $\bm{\beta}$ obtained with the Ridge estimator. This has interesting consequences when we discuss the so-called bias-variance trade-off below.
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!split
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===== Resampling methods =====
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Discuss types of error and how we proceed in doing so.
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!split
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===== Cross-validation =====
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