cleaning up

doc/pub/week37/html/._week37-bs006.html

@@ -338,7 +338,7 @@ $$
 $$
 
 <p>We see clearly that 
-\( \mathbb{E} \big[ \boldsymbol{\beta}^{\mathrm{Ridge}} \big] \not= \boldsymbol{\beta}^{\mathrm{OLS}} \) for any \( \lambda > 0 \). We say then that the ridge estimator is biased.
+\( \mathbb{E} \big[ \boldsymbol{\beta}^{\mathrm{Ridge}} \big] \not= \boldsymbol{\beta}^{\mathrm{OLS}} \) for any \( \lambda > 0 \).
 </p>
 
 <p>We can also compute the variance as </p>

doc/pub/week37/html/week37-reveal.html

@@ -415,7 +415,7 @@ $$
 <p>&nbsp;<br>
 
 <p>We see clearly that 
-\( \mathbb{E} \big[ \boldsymbol{\beta}^{\mathrm{Ridge}} \big] \not= \boldsymbol{\beta}^{\mathrm{OLS}} \) for any \( \lambda > 0 \). We say then that the ridge estimator is biased.
+\( \mathbb{E} \big[ \boldsymbol{\beta}^{\mathrm{Ridge}} \big] \not= \boldsymbol{\beta}^{\mathrm{OLS}} \) for any \( \lambda > 0 \).
 </p>
 
 <p>We can also compute the variance as </p>

doc/pub/week37/html/week37-solarized.html

@@ -444,7 +444,7 @@ $$
 $$
 
 <p>We see clearly that 
-\( \mathbb{E} \big[ \boldsymbol{\beta}^{\mathrm{Ridge}} \big] \not= \boldsymbol{\beta}^{\mathrm{OLS}} \) for any \( \lambda > 0 \). We say then that the ridge estimator is biased.
+\( \mathbb{E} \big[ \boldsymbol{\beta}^{\mathrm{Ridge}} \big] \not= \boldsymbol{\beta}^{\mathrm{OLS}} \) for any \( \lambda > 0 \).
 </p>
 
 <p>We can also compute the variance as </p>

doc/pub/week37/html/week37.html

@@ -521,7 +521,7 @@ $$
 $$
 
 <p>We see clearly that 
-\( \mathbb{E} \big[ \boldsymbol{\beta}^{\mathrm{Ridge}} \big] \not= \boldsymbol{\beta}^{\mathrm{OLS}} \) for any \( \lambda > 0 \). We say then that the ridge estimator is biased.
+\( \mathbb{E} \big[ \boldsymbol{\beta}^{\mathrm{Ridge}} \big] \not= \boldsymbol{\beta}^{\mathrm{OLS}} \) for any \( \lambda > 0 \).
 </p>
 
 <p>We can also compute the variance as </p>

doc/src/week37/week37.do.txt

@@ -178,7 +178,7 @@ It is rather straightforward to show that
 \]
 !et
 We see clearly that 
-$\mathbb{E} \big[ \bm{\beta}^{\mathrm{Ridge}} \big] \not= \bm{\beta}^{\mathrm{OLS}}$ for any $\lambda > 0$. We say then that the ridge estimator is biased.
+$\mathbb{E} \big[ \bm{\beta}^{\mathrm{Ridge}} \big] \not= \bm{\beta}^{\mathrm{OLS}}$ for any $\lambda > 0$.
 
 We can also compute the variance as