Timeline for Is there a fast way to compute histograms for high-dimensional large datasets?
Current License: CC BY-SA 3.0
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| Jun 10, 2013 at 2:19 | comment | added | Ron | What you're doing similar to approximating a histogram with the random sampling, I'm not sure if I want to do that since these my MC samples only converged at 125,000 samples, if I remove most of them and only sample random ones, I'll probably end up with very different answers depending on how many samples I take, I just don't want to risk misrepresenting the distributions. This is still definitely applicable if you have a problem like yours! | |
| Jun 9, 2013 at 17:43 | history | answered | meawoppl | CC BY-SA 3.0 |