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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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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