update lecrture

Author: HumphreyYang

lectures/_static/lecture_specific/wald_friedman/wald_dec_rule.pdf

@@ -26,7 +26,7 @@
     \node[below, outer sep=5pt] at (a1){$B$};
     \node[circle, draw, thin, blue, fill=white!10, scale=0.45] at (a2){};
     \node[below, outer sep=5pt] at (a2){$A$};
-    \node[below, outer sep=25pt] at (1.5, 0){values of $\log(L_m)$};
+    \node[below, outer sep=25pt] at (1.5, 0){value of $L_m$};
 \end{tikzpicture}
 
 \end{document}

lectures/_static/lecture_specific/wald_friedman/wald_dec_rule.png

@@ -544,6 +544,7 @@ control tests during World War II.
 A Navy Captain who had been ordered to perform tests of this kind had doubts about it that he
 presented to Milton Friedman, as we describe in  {doc}`this lecture <wald_friedman>`.
 
+(rel_entropy)=
 ## Kullback–Leibler Divergence
 
 Now let’s consider a case in which neither $g$ nor $f$