Timeline for Latin Hypercube Sampling with input correlation matrix in Python
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
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| Jul 2, 2021 at 15:56 | history | edited | R Carnell | CC BY-SA 4.0 |
Added explanation based on OPs updates.
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| Jul 1, 2021 at 9:57 | comment | added | Ant_C | I have also edited my OP, hopefully is clearer now. | |
| Jul 1, 2021 at 9:45 | comment | added | Ant_C | Hi, thanks for your reply! Sorry, I didn't explain correctly in my OP. X, Y, Z, R, T are input model parameters and the outputs are forecasts. Observations are satellite data: they don't provide any information on X, Y, Z, R, T. I want to compare model and observations to constrain the parameters ranges. Initially I use a wide range for the parameters (I have limited knowledge of them). After a first comparison, the forecasts "closer" to the observations limit my ranges, and I want to use those ranges to create new distributions to use for a new ensemble. I hope this clarifies the situation? | |
| Jun 30, 2021 at 18:44 | history | answered | R Carnell | CC BY-SA 4.0 |