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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
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