Timeline for Sample multivariate PDF from KDE with different norm
Current License: CC BY-SA 4.0
7 events
| when toggle format | what | by | license | comment | |
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| Jun 19, 2018 at 17:32 | comment | added | tupui | Just wanted to say this answer is also perfect. I cannot accept 2 but gave a +1. Thx for the maths and details, it really helps. | |
| Jun 15, 2018 at 0:07 | history | edited | Ben | CC BY-SA 4.0 |
Updated question to add new information about kernel
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| Jun 15, 2018 at 0:01 | history | edited | Ben | CC BY-SA 4.0 |
Updated question to add new information about kernel
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| Jun 14, 2018 at 13:01 | comment | added | tupui | Well, the explanation is just above: Gaussian Kernel with an inverted distance measure. That is all. | |
| Jun 14, 2018 at 10:54 | comment | added | Ben | As I said in the answer, if you give full details of your kernel and explain how this is linked to your metric, I will try to make sense of this. With sporadic details spread across comments, I don't know what you're doing. | |
| Jun 14, 2018 at 8:11 | comment | added | tupui | As I explained in the comments, I do not see how to "sample" from the Kernel in this context. Ok for exemple let say I have a Gaussian Kernel with the following metric: $\frac{1}{x_i - x}$ instead of $(x_i - x)$ and the multivariate distribution is totally unknown. | |
| Jun 14, 2018 at 5:03 | history | answered | Ben | CC BY-SA 4.0 |