Timeline for Can we derive the distribution of a random variable based on a dependent random variable's distribution?
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Dec 13, 2021 at 8:58 | history | edited | nbro | CC BY-SA 4.0 |
deleted 4 characters in body; edited tags
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| Jul 21, 2019 at 3:09 | answer | added | user9947 | timeline score: 1 | |
| Jul 12, 2019 at 0:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Mar 13, 2019 at 23:02 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Feb 11, 2019 at 22:43 | answer | added | Benedikt S. Vogler | timeline score: 0 | |
| S Feb 11, 2019 at 21:19 | history | suggested | nbro | CC BY-SA 4.0 |
A few improvements
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| Feb 11, 2019 at 13:47 | review | Suggested edits | |||
| S Feb 11, 2019 at 21:19 | |||||
| Feb 11, 2019 at 11:38 | comment | added | nbro | I don't think you can know the probability distribution of $X_3$ without knowing the functions $f$ and $g$, which define how $X_3$ is dependent on $X_1$ and $X_2$. | |
| Feb 11, 2019 at 3:35 | review | First posts | |||
| Feb 11, 2019 at 17:36 | |||||
| Feb 11, 2019 at 3:34 | history | asked | user297850 | CC BY-SA 4.0 |