Joint pdf as a product of two independent functions with dependent domain
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Let us have two random variables $X$ and $Y$ and their joint probability density function $f_XY(x,y)$. Let us assume that the function $f_XY$ can be written as a product of two functions $g(x)$ and $h(y)$. Then we say that the random variables $X$ and $Y$ are independent. But what if the range of $y$ in the domain of $f_XY$ is dependent of $x$? For example $f_XY$ is defined on the set $y$, are $X$ and $Y$ still independent?
probability probability-theory
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Let us have two random variables $X$ and $Y$ and their joint probability density function $f_XY(x,y)$. Let us assume that the function $f_XY$ can be written as a product of two functions $g(x)$ and $h(y)$. Then we say that the random variables $X$ and $Y$ are independent. But what if the range of $y$ in the domain of $f_XY$ is dependent of $x$? For example $f_XY$ is defined on the set $y$, are $X$ and $Y$ still independent?
probability probability-theory
add a comment |Â
up vote
1
down vote
favorite
up vote
1
down vote
favorite
Let us have two random variables $X$ and $Y$ and their joint probability density function $f_XY(x,y)$. Let us assume that the function $f_XY$ can be written as a product of two functions $g(x)$ and $h(y)$. Then we say that the random variables $X$ and $Y$ are independent. But what if the range of $y$ in the domain of $f_XY$ is dependent of $x$? For example $f_XY$ is defined on the set $y$, are $X$ and $Y$ still independent?
probability probability-theory
Let us have two random variables $X$ and $Y$ and their joint probability density function $f_XY(x,y)$. Let us assume that the function $f_XY$ can be written as a product of two functions $g(x)$ and $h(y)$. Then we say that the random variables $X$ and $Y$ are independent. But what if the range of $y$ in the domain of $f_XY$ is dependent of $x$? For example $f_XY$ is defined on the set $y$, are $X$ and $Y$ still independent?
probability probability-theory
asked 2 days ago
Vwann
204
204
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1 Answer
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You would write your joint density $f_XY$ as
beginalign*
f_XY(x,y) = g(x)h(y) textbf1_leq 1, ,
endalign*
which can no longer be split up into a product of functions depending only on one variable (since you can't factor the indicator into two indicators).
I see, thank you!
– Vwann
2 days ago
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
You would write your joint density $f_XY$ as
beginalign*
f_XY(x,y) = g(x)h(y) textbf1_leq 1, ,
endalign*
which can no longer be split up into a product of functions depending only on one variable (since you can't factor the indicator into two indicators).
I see, thank you!
– Vwann
2 days ago
add a comment |Â
up vote
1
down vote
accepted
You would write your joint density $f_XY$ as
beginalign*
f_XY(x,y) = g(x)h(y) textbf1_leq 1, ,
endalign*
which can no longer be split up into a product of functions depending only on one variable (since you can't factor the indicator into two indicators).
I see, thank you!
– Vwann
2 days ago
add a comment |Â
up vote
1
down vote
accepted
up vote
1
down vote
accepted
You would write your joint density $f_XY$ as
beginalign*
f_XY(x,y) = g(x)h(y) textbf1_leq 1, ,
endalign*
which can no longer be split up into a product of functions depending only on one variable (since you can't factor the indicator into two indicators).
You would write your joint density $f_XY$ as
beginalign*
f_XY(x,y) = g(x)h(y) textbf1_leq 1, ,
endalign*
which can no longer be split up into a product of functions depending only on one variable (since you can't factor the indicator into two indicators).
answered 2 days ago
Daniel Xiang
1,788413
1,788413
I see, thank you!
– Vwann
2 days ago
add a comment |Â
I see, thank you!
– Vwann
2 days ago
I see, thank you!
– Vwann
2 days ago
I see, thank you!
– Vwann
2 days ago
add a comment |Â
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