Timeline for Expected value of a random variable conditioned on a positively correlated event
Current License: CC BY-SA 4.0
8 events
when toggle format | what | by | license | comment | |
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May 21, 2019 at 16:45 | vote | accept | Melika | ||
May 20, 2019 at 20:41 | comment | added | Iosif Pinelis | I have added the details you requested. The meaning is this: $Y:=\int_0^\infty dy\,1_{X>y,A}$ is a random variable (r.v., which is function of the r.v. $X$), and $E\int_0^\infty dy\,1_{X>y,A}$ is the expectation of the r.v. $Y$. | |
May 20, 2019 at 20:38 | history | edited | Iosif Pinelis | CC BY-SA 4.0 |
added 170 characters in body
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May 20, 2019 at 18:21 | comment | added | Melika | Thanks for the answer! Can you please explain the second step in more detail? How do you get $𝐸 \int_{0}^{\infty } dy 1_{X>y,A}$ and what does that mean? | |
May 20, 2019 at 16:10 | vote | accept | Melika | ||
May 20, 2019 at 16:25 | |||||
May 18, 2019 at 1:03 | vote | accept | Melika | ||
May 20, 2019 at 16:10 | |||||
May 17, 2019 at 21:48 | history | edited | Iosif Pinelis | CC BY-SA 4.0 |
added 228 characters in body
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May 17, 2019 at 21:42 | history | answered | Iosif Pinelis | CC BY-SA 4.0 |