Timeline for Conditional probability of continuous variable
Current License: CC BY-SA 4.0
11 events
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| Mar 22, 2022 at 7:23 | history | edited | Xi'an | CC BY-SA 4.0 |
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| Mar 2, 2021 at 14:50 | comment | added | Xi'an | @fblundun: I cannot claim any personal knowledge of Kolmogorov's meaning but the way I understood the "isolated" was as "single" in opposition to the collection of all possible conditioning events. | |
| Mar 2, 2021 at 13:32 | comment | added | fblundun | What does the word "isolated" mean in that Kolmogorov quote? Does it just mean "outside of the context of a limiting argument"? | |
| Jan 4, 2021 at 7:33 | history | edited | Xi'an | CC BY-SA 4.0 |
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| Feb 8, 2015 at 20:44 | vote | accept | Noob | ||
| Feb 8, 2015 at 20:43 | vote | accept | Noob | ||
| Feb 8, 2015 at 20:43 | |||||
| Feb 7, 2015 at 9:38 | history | edited | Xi'an | CC BY-SA 3.0 |
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| Feb 7, 2015 at 7:36 | history | edited | Xi'an | CC BY-SA 3.0 |
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| Feb 6, 2015 at 17:09 | history | edited | Xi'an | CC BY-SA 3.0 |
added the quote by Andrei Kolmogorov
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| Feb 6, 2015 at 14:47 | comment | added | Yair Daon | This is just plain wrong. If you take a rigorous course in probability theory you will see that conditioning on events of measure zero is possible, and practical. Consider a bitivariate Gaussian. Everyone knows you can condition on the first variable taking the value zero, though this event has zero probability. See wikipedia. en.wikipedia.org/wiki/… | |
| Feb 6, 2015 at 7:56 | history | answered | Xi'an | CC BY-SA 3.0 |