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Jul 6, 2019 at 4:20 comment added JimB Also the difference shows up from the PDF's of the estimated distributions. There's no need to generate histograms: 'Plot[{PDF[ld, x], PDF[fd, x]}, {x, -20, 120}]`.
Jul 6, 2019 at 4:15 comment added JimB There are (at least) four issues: (1) One shouldn't expect very similar histograms even sampling from the same distribution with just a 100 samples - and those two samples are completely independent of each other. (2) LearnDistribution seems to end up with a SmoothKernelDistribution which seems to have too small of a default bandwidth resulting in a bumpier distribution, and (3) Because you've chosen a bounded distribution, the default for SmoothKernelDistribution doesn't use the "Bounded" option, and (4) LearnedDistribution is experimental: your mileage may vary.
Jul 6, 2019 at 1:33 history asked user66152 CC BY-SA 4.0