Find conditional expectation
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0
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Let $X$ and $Y$ be two independent uniform on $(0,1)$ . Compute $E(X
mid X < Y )$.
I was asked this question on an exam and here is how I solved it:
We have $f_X(x)=f_Y(y)=1$ and by independence $f_{X,Y}(x,y)=1$. Hence,
$$ f_{X mid Y} (x mid y) = frac{ f_{X,Y}(x,y)}{f_{Y}(y) } = 1 $$
So,
$$ E(X mid X < Y) = intlimits_0^y x f_{X mid Y} (x mid y) d x = intlimits_0^y x dx = frac{y^2}{2} $$
I think my answer is reasonable. I only got 2 points out of 10 on this question which means the entire procedure is flawed? what is my mistake here?
probability
add a comment |
up vote
0
down vote
favorite
Let $X$ and $Y$ be two independent uniform on $(0,1)$ . Compute $E(X
mid X < Y )$.
I was asked this question on an exam and here is how I solved it:
We have $f_X(x)=f_Y(y)=1$ and by independence $f_{X,Y}(x,y)=1$. Hence,
$$ f_{X mid Y} (x mid y) = frac{ f_{X,Y}(x,y)}{f_{Y}(y) } = 1 $$
So,
$$ E(X mid X < Y) = intlimits_0^y x f_{X mid Y} (x mid y) d x = intlimits_0^y x dx = frac{y^2}{2} $$
I think my answer is reasonable. I only got 2 points out of 10 on this question which means the entire procedure is flawed? what is my mistake here?
probability
The conditional expectation is supposed to give you a real number.
– StubbornAtom
Nov 20 at 16:28
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Let $X$ and $Y$ be two independent uniform on $(0,1)$ . Compute $E(X
mid X < Y )$.
I was asked this question on an exam and here is how I solved it:
We have $f_X(x)=f_Y(y)=1$ and by independence $f_{X,Y}(x,y)=1$. Hence,
$$ f_{X mid Y} (x mid y) = frac{ f_{X,Y}(x,y)}{f_{Y}(y) } = 1 $$
So,
$$ E(X mid X < Y) = intlimits_0^y x f_{X mid Y} (x mid y) d x = intlimits_0^y x dx = frac{y^2}{2} $$
I think my answer is reasonable. I only got 2 points out of 10 on this question which means the entire procedure is flawed? what is my mistake here?
probability
Let $X$ and $Y$ be two independent uniform on $(0,1)$ . Compute $E(X
mid X < Y )$.
I was asked this question on an exam and here is how I solved it:
We have $f_X(x)=f_Y(y)=1$ and by independence $f_{X,Y}(x,y)=1$. Hence,
$$ f_{X mid Y} (x mid y) = frac{ f_{X,Y}(x,y)}{f_{Y}(y) } = 1 $$
So,
$$ E(X mid X < Y) = intlimits_0^y x f_{X mid Y} (x mid y) d x = intlimits_0^y x dx = frac{y^2}{2} $$
I think my answer is reasonable. I only got 2 points out of 10 on this question which means the entire procedure is flawed? what is my mistake here?
probability
probability
asked Nov 20 at 16:15
Neymar
362113
362113
The conditional expectation is supposed to give you a real number.
– StubbornAtom
Nov 20 at 16:28
add a comment |
The conditional expectation is supposed to give you a real number.
– StubbornAtom
Nov 20 at 16:28
The conditional expectation is supposed to give you a real number.
– StubbornAtom
Nov 20 at 16:28
The conditional expectation is supposed to give you a real number.
– StubbornAtom
Nov 20 at 16:28
add a comment |
2 Answers
2
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2
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Concerning your mistake see the comment of StubbornAtom.
Note that $P(X<Y)=frac12$ by symmetry, so that:
$$frac{1}{2}mathbb{E}left(Xmid X<Yright)=mathbb{E}left(Xmid X<Yright)Pleft(X<Yright)=mathbb{E}Xmathbf{1}_{X<Y}=int_{0}^{1}int_{0}^{y}xdxdy=$$$$int_{0}^{1}frac{1}{2}y^{2}dy=left[frac{1}{6}y^{3}right]_{0}^{1}=frac{1}{6}$$
So the correct answer is: $$mathbb{E}left(Xmid X<Yright)=frac{1}{3}$$
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1
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We have $$E(Xmid X<Y)=frac{E(Xmathbf1_{X<Y})}{P(X<Y)}=2E(Xmathbf1_{X<Y})$$
And
begin{align}
E(Xmathbf1_{X<Y})&=iint xmathbf1_{x<y}f_{X,Y}(x,y),dx,dy
end{align}
add a comment |
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
accepted
Concerning your mistake see the comment of StubbornAtom.
Note that $P(X<Y)=frac12$ by symmetry, so that:
$$frac{1}{2}mathbb{E}left(Xmid X<Yright)=mathbb{E}left(Xmid X<Yright)Pleft(X<Yright)=mathbb{E}Xmathbf{1}_{X<Y}=int_{0}^{1}int_{0}^{y}xdxdy=$$$$int_{0}^{1}frac{1}{2}y^{2}dy=left[frac{1}{6}y^{3}right]_{0}^{1}=frac{1}{6}$$
So the correct answer is: $$mathbb{E}left(Xmid X<Yright)=frac{1}{3}$$
add a comment |
up vote
2
down vote
accepted
Concerning your mistake see the comment of StubbornAtom.
Note that $P(X<Y)=frac12$ by symmetry, so that:
$$frac{1}{2}mathbb{E}left(Xmid X<Yright)=mathbb{E}left(Xmid X<Yright)Pleft(X<Yright)=mathbb{E}Xmathbf{1}_{X<Y}=int_{0}^{1}int_{0}^{y}xdxdy=$$$$int_{0}^{1}frac{1}{2}y^{2}dy=left[frac{1}{6}y^{3}right]_{0}^{1}=frac{1}{6}$$
So the correct answer is: $$mathbb{E}left(Xmid X<Yright)=frac{1}{3}$$
add a comment |
up vote
2
down vote
accepted
up vote
2
down vote
accepted
Concerning your mistake see the comment of StubbornAtom.
Note that $P(X<Y)=frac12$ by symmetry, so that:
$$frac{1}{2}mathbb{E}left(Xmid X<Yright)=mathbb{E}left(Xmid X<Yright)Pleft(X<Yright)=mathbb{E}Xmathbf{1}_{X<Y}=int_{0}^{1}int_{0}^{y}xdxdy=$$$$int_{0}^{1}frac{1}{2}y^{2}dy=left[frac{1}{6}y^{3}right]_{0}^{1}=frac{1}{6}$$
So the correct answer is: $$mathbb{E}left(Xmid X<Yright)=frac{1}{3}$$
Concerning your mistake see the comment of StubbornAtom.
Note that $P(X<Y)=frac12$ by symmetry, so that:
$$frac{1}{2}mathbb{E}left(Xmid X<Yright)=mathbb{E}left(Xmid X<Yright)Pleft(X<Yright)=mathbb{E}Xmathbf{1}_{X<Y}=int_{0}^{1}int_{0}^{y}xdxdy=$$$$int_{0}^{1}frac{1}{2}y^{2}dy=left[frac{1}{6}y^{3}right]_{0}^{1}=frac{1}{6}$$
So the correct answer is: $$mathbb{E}left(Xmid X<Yright)=frac{1}{3}$$
answered Nov 20 at 16:32
drhab
95.4k543126
95.4k543126
add a comment |
add a comment |
up vote
1
down vote
We have $$E(Xmid X<Y)=frac{E(Xmathbf1_{X<Y})}{P(X<Y)}=2E(Xmathbf1_{X<Y})$$
And
begin{align}
E(Xmathbf1_{X<Y})&=iint xmathbf1_{x<y}f_{X,Y}(x,y),dx,dy
end{align}
add a comment |
up vote
1
down vote
We have $$E(Xmid X<Y)=frac{E(Xmathbf1_{X<Y})}{P(X<Y)}=2E(Xmathbf1_{X<Y})$$
And
begin{align}
E(Xmathbf1_{X<Y})&=iint xmathbf1_{x<y}f_{X,Y}(x,y),dx,dy
end{align}
add a comment |
up vote
1
down vote
up vote
1
down vote
We have $$E(Xmid X<Y)=frac{E(Xmathbf1_{X<Y})}{P(X<Y)}=2E(Xmathbf1_{X<Y})$$
And
begin{align}
E(Xmathbf1_{X<Y})&=iint xmathbf1_{x<y}f_{X,Y}(x,y),dx,dy
end{align}
We have $$E(Xmid X<Y)=frac{E(Xmathbf1_{X<Y})}{P(X<Y)}=2E(Xmathbf1_{X<Y})$$
And
begin{align}
E(Xmathbf1_{X<Y})&=iint xmathbf1_{x<y}f_{X,Y}(x,y),dx,dy
end{align}
answered Nov 20 at 16:30
StubbornAtom
4,97911137
4,97911137
add a comment |
add a comment |
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The conditional expectation is supposed to give you a real number.
– StubbornAtom
Nov 20 at 16:28