update book
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@@ -490,12 +490,7 @@ a finite number larger than zero. We will not implement that here.</p>
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\[
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\hat{\boldsymbol{\beta}}_{\mathrm{Ridge}} = \left(\boldsymbol{X}^T\boldsymbol{X}+\lambda\boldsymbol{I}\right)^{-1}\boldsymbol{X}^T\boldsymbol{y},
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\]</div>
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<p>with <span class="math notranslate nohighlight">\(\boldsymbol{I}\)</span> being a <span class="math notranslate nohighlight">\(p\times p\)</span> identity matrix with the constraint that</p>
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<div class="math notranslate nohighlight">
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\[
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\sum_{i=0}^{p-1} \beta_i^2 \leq t,
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\]</div>
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<p>with <span class="math notranslate nohighlight">\(t\)</span> a finite positive number. In the optimization, we will not require that the latter is satisfied.</p>
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<p>with <span class="math notranslate nohighlight">\(\boldsymbol{I}\)</span> being a <span class="math notranslate nohighlight">\(p\times p\)</span> identity matrix.</p>
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<p>The ordinary least squares result is</p>
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<div class="math notranslate nohighlight">
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\[
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