Timeline for Fit probability distribution from probabilistic observations?
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Aug 15, 2020 at 6:00 | history | tweeted | twitter.com/StackMma/status/1294514177650892800 | ||
| Jul 18, 2020 at 0:00 | history | edited | Kagaratsch | CC BY-SA 4.0 |
edited title
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| Jan 10, 2020 at 2:58 | answer | added | MikeY | timeline score: 3 | |
| Jan 10, 2020 at 1:00 | answer | added | JimB | timeline score: 4 | |
| Jan 9, 2020 at 23:29 | comment | added | Kagaratsch | @JimB oh, yes, that sounds interesting, as well! Unfortunately, I'm not sure where to start. I know there are distribution fitting functions in mathematica, but don't see a clear way to write syntax that would treat such a particular problem... | |
| Jan 9, 2020 at 23:26 | comment | added | JimB | You might also initially consider relaxing the "unknown" distribution to a "known" distribution (at least up to the specific parameters) and solve that problem first. | |
| Jan 9, 2020 at 23:24 | history | edited | Kagaratsch | CC BY-SA 4.0 |
added 8 characters in body
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| Jan 9, 2020 at 23:21 | comment | added | Kagaratsch |
@JimB essentially, I mean y=2 RandomReal[]-1. Uniformly drawn random numbers in this interval. I'll change the term to uniform random distribution.
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| Jan 9, 2020 at 22:43 | comment | added | JimB | How does $Y$ have a normal distribution but is restricted to an interval between -1 and +1 ? | |
| Jan 9, 2020 at 21:49 | history | asked | Kagaratsch | CC BY-SA 4.0 |