X and Y are linearly independent random variables with geometric distribution. They have the same p parameter. How can I calculate the following expressions: a) P(X=k|X<Y)=? b) P(X=k|X=Y)=? c) E(X∣X+Y) =?

kunikwece

kunikwece

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2022-08-20

Conditional probability with geometric distribution
X and Y are linearly independent random variables with geometric distribution. They have the same p parameter. How can I calculate the following expressions:
a) P ( X = k | X < Y ) = ?
b) P ( X = k | X = Y ) = ?
c) E ( X X + Y ) = ?

Answer & Explanation

Lina Watson

Lina Watson

Beginner2022-08-21Added 9 answers

Step 1
a) P ( X = k X < Y ) = P ( X = k , X < Y ) P ( X < Y ) = ( 1 p ) k 1 p i = k + 1 ( 1 p ) i 1 p i = 1 j = 1 i 1 ( 1 p ) i 1 p ( 1 p ) j 1 p = p ( 1 p ) 2 k 1 1 p 2 p = p ( 2 p ) ( 1 p ) 2 ( k 1 ) .
Step 2
b) P ( X = k X = Y ) = P ( X = k , X = Y ) P ( X = Y ) = ( 1 p ) k 1 p ( 1 p ) k 1 p i = 1 ( 1 p ) i p ( 1 p ) i p = p ( 2 p ) ( 1 p ) 2 ( k 1 ) .
Step 3
c) E [ X X + Y = n ] = E [ X 1 { X + Y = n } ] P ( X + Y = n ) = E [ X 1 { X + Y = n } ] 1 2 ( 1 p 2 p ) .

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