Timeline for How to get normally distributed Quasi-random numbers
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Nov 13, 2020 at 17:34 | answer | added | kjetil b halvorsen♦ | timeline score: 4 | |
| Nov 13, 2020 at 17:05 | comment | added | Kevin K. | @RobertLong I'm not sure where else to ask this. I'm currently using numpy for this, but I would prefer to use some method of variance reduction. | |
| S Nov 13, 2020 at 16:54 | history | suggested | MarianD | CC BY-SA 4.0 |
Formatting, some fixes.
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| Nov 13, 2020 at 16:50 | review | Suggested edits | |||
| S Nov 13, 2020 at 16:54 | |||||
| Nov 13, 2020 at 16:49 | comment | added | Robert Long |
Do you mean that you want to sample from a multivariate normal distribution? If so then random.multivariate_normal from numPy should do the trick. This is probably off topic here btw.
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| Nov 13, 2020 at 16:40 | history | asked | Kevin K. | CC BY-SA 4.0 |