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Some useful results from probability theory Some useful results from probability theory The conditional probability of A given B is defined by P (A|B) = P (A ∩ B) P (B) Law of total probability If Bn form a partition of the sample space, i.e., the Bn are disjoint and the union is the whole sample space, then P r(A) = X P r(A|Bn )P r(Bn ) n In particular, if X and Y are discrete valued stochastic variables, then P r(X = x) = X P r(X = x|Y = y)P r(Y = y) y Law of total expectation (when Y takes discrete values y) E(X) = X E(X|Y = y)P (Y = y) y 1