Timeline for How to improve `FindDistribution`?
Current License: CC BY-SA 4.0
8 events
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| Apr 14, 2020 at 17:10 | comment | added | მამუკა ჯიბლაძე | I see, thanks. I do not see though what exactly makes datasets chosen by me unrealistic. | |
| Apr 14, 2020 at 16:45 | comment | added | JimB |
I mean "unrealistic", "contrived", "lacking any practical use", and "likely useless". But I certainly could be wrong. However, there's no indication in the question as to what real-world problem is to be solved with the code you present. FindDistribution does find distributions and parameters but without a method to estimate measures of precision it's not doing a complete and desirable job.
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| Apr 14, 2020 at 9:21 | comment | added | მამუკა ჯიბლაძე | Sorry, I cannot understand what do you mean by "almost zero real datasets", could you please explain this a little bit more? | |
| Apr 13, 2020 at 23:09 | history | edited | JimB | CC BY-SA 4.0 |
Added in blurb about target functions and the log of the likelihood.
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| Apr 13, 2020 at 15:57 | comment | added | მამუკა ჯიბლაძე |
Well the sample size increases exponentially, so one would express increasing accuracy - which is not the case. I chose RandomSample to have frequencies exactly equal to those derived from probabilities
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| Apr 13, 2020 at 15:55 | comment | added | JimB |
Thanks, the additional explanation is helpful. But you probably want RandomChoice rather than RandomSample as the former samples with replacement and the latter samples without replacement (hence you just get a rearrangement of the numbers). But in any event you're only getting a single sample with a small sample size. There is going to be considerable variability that is inherent and not the fault of FindDistribution.
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| Apr 13, 2020 at 15:45 | comment | added | მამუკა ჯიბლაძე |
Sorry for misunderstanding - I've provided additional explanations in the question. I believe in this case BinomialDistribution[3,0.5] would be a better guess, no?
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| Apr 13, 2020 at 14:38 | history | answered | JimB | CC BY-SA 4.0 |