Understanding the Difference Between P (A, B) and P (B, A)

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In proving Bayes' Theorem,

we use the following two statements.

P (A, B) = P (A|B) P (B)
P (B, A) = P (B|A) P (A).

I am wondering what's the difference between P (A, B) and P (B, A).

Any takers?
 
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There is no difference if by P(A,B) means the probability of the event "A and B". The event "A and B" is the same as the event "B and A".
 
Thanks!
 
failexam said:
In proving Bayes' Theorem,

we use the following two statements.

P (A, B) = P (A|B) P (B)
P (B, A) = P (B|A) P (A).

I am wondering what's the difference between P (A, B) and P (B, A).

Any takers?

P(A,B) is functional notation which is to be defined such as in [tex]f(x,y)= 6x + y^2[/tex] for example. The order of variables in the argument doesn't usually matter unless specifically stated.

You've defined it in terms of probabilities two ways which can be written:

[tex]P(A\cap B)[/tex] and [tex]P(B \cap A)[/tex]

They are the same but not because P(A,B) means P(A^B). P(A,B) is simply a function which is to be defined.
 
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