update of week 36

doc/src/week36/week36.do.txt

@@ -674,7 +674,16 @@ probability distribution of our targets is also a normal distribution
 but now with mean value $\bm{X}\hat{\bm{\beta}}$. This means that a
 single output $y_i$ is given by the Gaussian distribution
 
+!bt
+\[
+y_i\sim \mathcal{N}(\bm{X}{i,*}\bm{\beta}, \sigma^2)=\frac{1}{\sqrt{2\pi\sigma^2}}\exp{\left[-\frac{(y_i-\bm{X}{i,*}\bm{\beta})^2}{2\sigma^2}\right]}.
+\]
+!et
 
+!split
+===== Independent and Identically Distrubuted (iid) =====
+
+We assume now that the various $y_i$ values are stochastically distributed according to the above Gaussian distribution and 
 
 
 !split