Tom's edit of one lecture July 24

Author: thomassargent30

lectures/prob_matrix.md

@@ -324,11 +324,11 @@ $$
 The joint distribution induce marginal distributions 
 
 $$
-\textrm{Prob}\{X=i\}= \sum_{j=0}^{J-1}f_{ij} = \mu_i, i=0,\ldots,I-1,
+\textrm{Prob}\{X=i\}= \sum_{j=0}^{J-1}f_{ij} = \mu_i, \quad i=0,\ldots,I-1
 $$
 
 $$
-\textrm{Prob}\{Y=j\}= \sum_{i=0}^{I-1}f_{ij} = \nu_i, i=0,\ldots,J-1 
+\textrm{Prob}\{Y=j\}= \sum_{i=0}^{I-1}f_{ij} = \nu_j, \quad j=0,\ldots,J-1 
 $$
 
 For example, let the joint distribution over $(X,Y)$ be