added ref to regression
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@@ -310,7 +310,7 @@ MathJax.Hub.Config({
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<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
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<br>
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<p>
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<center><h4>Sep 13, 2019</h4></center> <!-- date -->
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<center><h4>Dec 18, 2019</h4></center> <!-- date -->
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<br>
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<p>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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@@ -1951,7 +1951,7 @@ with \( t \) a finite positive number.
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<p>
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We see that Ridge regression is nothing but the standard
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OLS with a modified diagonal term added to \( \boldsymbol{X}^T\boldsymbol{X} \). The
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consequences, in particular for our discussion of the bias-variance
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consequences, in particular for our discussion of the bias-variance tradeoff
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are rather interesting.
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<p>
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@@ -3845,6 +3845,9 @@ sets. However, if a method has high variance then small changes in
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the training data can result in large changes in the model. In general, more
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flexible statistical methods have higher variance.
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<p>
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You may also find this recent <a href="https://www.pnas.org/content/116/32/15849" target="_blank">article</a> of interest.
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<p>
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