update
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@@ -787,7 +787,7 @@ which gives \( \lambda=4.571 \) and \( \beta_0=0.933 \) and \( \beta_1=0.359 \).
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<p>
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For Lasso we need now, keeping a constraint on \( \vert\beta_0\vert+\vert\beta_1\vert=1 \), to take the derivative of the absolute values of \( \beta_0 \)
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and \( beta_1 \). This gives us the following derivatives of the cost function
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and \( \beta_1 \). This gives us the following derivatives of the cost function
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<p> <br>
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$$
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C(\boldsymbol{\beta})=(4-2\beta_0)^2+(2-\beta_1)^2+\lambda(\vert\beta_0\vert+\vert\beta_1\vert),
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@@ -1176,7 +1176,7 @@ $$
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which leads to
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<p> <br>
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$$
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\hat{\boldsymbol{\beta}}_{mathrm{OLS}}=\left(\boldsymbol{X}^T\boldsymbol{X}\right^{-1}\boldsymbol{X}^T\boldsymbol{y}!
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\hat{\boldsymbol{\beta}}_{\mathrm{OLS}}=\left(\boldsymbol{X}^T\boldsymbol{X}\right)^{-1}\boldsymbol{X}^T\boldsymbol{y}!
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$$
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<p> <br>
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</section>
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@@ -808,7 +808,7 @@ which gives \( \lambda=4.571 \) and \( \beta_0=0.933 \) and \( \beta_1=0.359 \).
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<p>
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For Lasso we need now, keeping a constraint on \( \vert\beta_0\vert+\vert\beta_1\vert=1 \), to take the derivative of the absolute values of \( \beta_0 \)
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and \( beta_1 \). This gives us the following derivatives of the cost function
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and \( \beta_1 \). This gives us the following derivatives of the cost function
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$$
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C(\boldsymbol{\beta})=(4-2\beta_0)^2+(2-\beta_1)^2+\lambda(\vert\beta_0\vert+\vert\beta_1\vert),
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$$
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@@ -1150,7 +1150,7 @@ $$
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which leads to
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$$
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\hat{\boldsymbol{\beta}}_{mathrm{OLS}}=\left(\boldsymbol{X}^T\boldsymbol{X}\right^{-1}\boldsymbol{X}^T\boldsymbol{y}!
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\hat{\boldsymbol{\beta}}_{\mathrm{OLS}}=\left(\boldsymbol{X}^T\boldsymbol{X}\right)^{-1}\boldsymbol{X}^T\boldsymbol{y}!
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$$
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<p>
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@@ -813,7 +813,7 @@ which gives \( \lambda=4.571 \) and \( \beta_0=0.933 \) and \( \beta_1=0.359 \).
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<p>
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For Lasso we need now, keeping a constraint on \( \vert\beta_0\vert+\vert\beta_1\vert=1 \), to take the derivative of the absolute values of \( \beta_0 \)
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and \( beta_1 \). This gives us the following derivatives of the cost function
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and \( \beta_1 \). This gives us the following derivatives of the cost function
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$$
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C(\boldsymbol{\beta})=(4-2\beta_0)^2+(2-\beta_1)^2+\lambda(\vert\beta_0\vert+\vert\beta_1\vert),
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$$
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@@ -1155,7 +1155,7 @@ $$
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which leads to
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$$
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\hat{\boldsymbol{\beta}}_{mathrm{OLS}}=\left(\boldsymbol{X}^T\boldsymbol{X}\right^{-1}\boldsymbol{X}^T\boldsymbol{y}!
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\hat{\boldsymbol{\beta}}_{\mathrm{OLS}}=\left(\boldsymbol{X}^T\boldsymbol{X}\right)^{-1}\boldsymbol{X}^T\boldsymbol{y}!
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$$
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<p>
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