Timeline for What is the probability space of a random variable according to central limit theorem?
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8 events
| when toggle format | what | by | license | comment | |
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| Jul 8, 2019 at 21:56 | history | edited | Ben |
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| Jun 26, 2019 at 0:40 | answer | added | Ben | timeline score: 2 | |
| Jun 19, 2019 at 9:49 | answer | added | Michael Manfield | timeline score: 1 | |
| Jun 17, 2019 at 13:49 | comment | added | StubbornAtom | Also posted at math.stackexchange.com/questions/3265203/…. | |
| Jun 17, 2019 at 12:24 | comment | added | whuber♦ | Inductive application of the construction for $n=2$ will answer your question: see stats.stackexchange.com/questions/364739. | |
| Jun 17, 2019 at 12:23 | comment | added | whuber♦ | A close read of the theorem you are quoting indicates the $\mu_s$ do not have to be random variables on a common probability space, because the conclusion only concerns convergence in distribution. Thus, you need only discover what the probability space of one particular $\mu_s$ might be. I know this is answered in another thread, but it might be hard to find. Nevertheless, many related threads with informative answers can be found by searching for sample probability space. | |
| Jun 17, 2019 at 10:25 | review | First posts | |||
| Jun 17, 2019 at 10:56 | |||||
| Jun 17, 2019 at 10:20 | history | asked | Michael Manfield | CC BY-SA 4.0 |