Conditional variance and total variance
Kakashi
Variance is the average of the squared distance from the mean of the distribution fX∣Y. When y is not specified, Var(X∣Y) is a random variable that depends on Y. $$ Var(X|Y)=E[X^{2}|Y]-(E[X|Y])^{2} $$ Taking expectations: $$... Read more