Timeline for Generate non-random data that follows a given correlation matrix
Current License: CC BY-SA 3.0
4 events
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| Feb 14, 2017 at 13:08 | comment | added | Francesco | I want to generate three synthetic distributions which correspond to three different physical quantities (eg: voltage, current and frequency) starting from real world data. I don't want to simply generate some data because these data needs to have also a time consistency since, for example, if the voltage in t1 is 123, in t2 it can't be 400 or -20 but a value between 124 and 128. However, since the distributions are not known, I wasn't able to find a way to extract / estimate the marginal distribution. | |
| Feb 3, 2017 at 19:57 | history | edited | Julius | CC BY-SA 3.0 |
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| Feb 3, 2017 at 19:09 | history | edited | Julius | CC BY-SA 3.0 |
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| Feb 3, 2017 at 18:49 | history | answered | Julius | CC BY-SA 3.0 |