Expected value of inverse of surrounding density
$begingroup$
Fix a probability distribution on a compact set $mathcal{X} subset mathbb{R}$. I wonder what the conditions would be such that
$mathbb{E} left[ frac{1}{F(x+d)-F(x-d)} right]$ does not diverge with $F(cdot)$ being the CDF and/or what would be an example where it diverges. Generally, $d>0$ but in the limit would go to $0$.
We can rewrite as follows
$$
mathbb{E} left[ frac{1}{F(x+d)-F(x-d)} right] = int_mathcal{X} frac{p(x)}{int_{x-d}^{x+d}p(y)dy} dx
$$
I tried numerical integration rules, Hölder's inequality, etc. but have not found a satisfying simple condition. I also could not find a PDF serving as counter-example, yet.
integration probability-theory probability-distributions lebesgue-measure approximate-integration
$endgroup$
add a comment |
$begingroup$
Fix a probability distribution on a compact set $mathcal{X} subset mathbb{R}$. I wonder what the conditions would be such that
$mathbb{E} left[ frac{1}{F(x+d)-F(x-d)} right]$ does not diverge with $F(cdot)$ being the CDF and/or what would be an example where it diverges. Generally, $d>0$ but in the limit would go to $0$.
We can rewrite as follows
$$
mathbb{E} left[ frac{1}{F(x+d)-F(x-d)} right] = int_mathcal{X} frac{p(x)}{int_{x-d}^{x+d}p(y)dy} dx
$$
I tried numerical integration rules, Hölder's inequality, etc. but have not found a satisfying simple condition. I also could not find a PDF serving as counter-example, yet.
integration probability-theory probability-distributions lebesgue-measure approximate-integration
$endgroup$
add a comment |
$begingroup$
Fix a probability distribution on a compact set $mathcal{X} subset mathbb{R}$. I wonder what the conditions would be such that
$mathbb{E} left[ frac{1}{F(x+d)-F(x-d)} right]$ does not diverge with $F(cdot)$ being the CDF and/or what would be an example where it diverges. Generally, $d>0$ but in the limit would go to $0$.
We can rewrite as follows
$$
mathbb{E} left[ frac{1}{F(x+d)-F(x-d)} right] = int_mathcal{X} frac{p(x)}{int_{x-d}^{x+d}p(y)dy} dx
$$
I tried numerical integration rules, Hölder's inequality, etc. but have not found a satisfying simple condition. I also could not find a PDF serving as counter-example, yet.
integration probability-theory probability-distributions lebesgue-measure approximate-integration
$endgroup$
Fix a probability distribution on a compact set $mathcal{X} subset mathbb{R}$. I wonder what the conditions would be such that
$mathbb{E} left[ frac{1}{F(x+d)-F(x-d)} right]$ does not diverge with $F(cdot)$ being the CDF and/or what would be an example where it diverges. Generally, $d>0$ but in the limit would go to $0$.
We can rewrite as follows
$$
mathbb{E} left[ frac{1}{F(x+d)-F(x-d)} right] = int_mathcal{X} frac{p(x)}{int_{x-d}^{x+d}p(y)dy} dx
$$
I tried numerical integration rules, Hölder's inequality, etc. but have not found a satisfying simple condition. I also could not find a PDF serving as counter-example, yet.
integration probability-theory probability-distributions lebesgue-measure approximate-integration
integration probability-theory probability-distributions lebesgue-measure approximate-integration
asked Dec 17 '18 at 10:09
AlexelaAlexela
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