1 Conditional Probility
1.1 Definition
Let X and Y be events where Y has positive probability, then
Pr[X|Y]::=Pr[X∩Y]Pr[Y]
1.2 The Four Step Method for Conditional Probability
Find the sample spaceDefine event of intrestDetemine outcome probabilitiesCompute event probabilities
1.3 Conditional Probability Product Rule
2 events:
Pr[E1∩E2]=Pr[E1]⋅Pr[E2|E1]
3 events:
Pr[E1∩E2∩E3]=Pr[E1]⋅Pr[E2|E1]⋅Pr[E3|E1∩E2]
2 The Law of Total Probability
If
E1
,
E2
,
E3
are disjoint and
P[E1∪E2∪E3]=1
, then:
Pr[A]=Pr[A|E1]⋅Pr[E1]+Pr[A|E2]⋅Pr[E2]Pr[A|E3]⋅Pr[E3]
3 Bayes’ Rule
Pr[A|B]=Pr[A∩B]Pr[B]
4 Pilosphy of Probability
In a Bayesian approach, a probability is interpreted as a degree of belief in a proposition.In the frequentist view, the probability of an event represents the fraction of trials in which the event occurred
Reference
[1] Lehman E, Leighton F H, Meyer A R. Mathematics for Computer Science[J]. 2015.
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