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https://issues.apache.org/jira/browse/MATH-1462?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17416990#comment-17416990
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Gilles Sadowski edited comment on MATH-1462 at 9/18/21, 11:19 AM:
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bq. Overriding the kernel is a workaround. Changing bin count is not an
applicable workaround for us.
You can specify a kernel generator as an argument to one of the factory methods.
Which kernel does work (for that test)? Does it work for any bin count?
What is the expected (relative) accuracy tolerance of the returned value?
was (Author: erans):
bq. Overriding the kernel is a workaround. Changing bin count is not an
applicable workaround for us.
You can specify a kernel generator as an argument to one of the factory methods.
Which kernel does work (for that test)? Does it work for any bin count?
> EmpiricalDistribution:inverseCumulativeProbability return Infinity
> ------------------------------------------------------------------
>
> Key: MATH-1462
> URL: https://issues.apache.org/jira/browse/MATH-1462
> Project: Commons Math
> Issue Type: Bug
> Affects Versions: 3.6.1
> Reporter: elyes belarbi
> Assignee: Amar Prakash Pandey
> Priority: Critical
> Attachments: Screenshot from 2021-07-03 00-31-54.png, Screenshot from
> 2021-07-03 00-34-23.png
>
>
> Hi,
> inverseCumulativeProbability(0.5) return "infinity" which is absurd while it
> return correct values for 0.499999 and 0.511111, Here is the test :
> {code:java}
> double[] data = {6464.0205, 6449.1328, 6489.4569, 6497.5533, 6251.6487,
> 6252.6513, 6339.7883,
> 6356.2622, 6222.1251, 6157.3813, 6242.4741, 6332.5347, 6468.0633, 6471.2319,
> 6473.9929, 6589.1322,
> 6511.2191, 6339.4349, 6307.7735, 6288.0915, 6354.0572, 6385.8283, 6325.3756,
> 6433.1699, 6433.6507,
> 6424.6806, 6380.5268, 6407.6705, 6241.2198, 6230.3681, 6367.5943, 6358.4817,
> 6272.8039, 6269.0211,
> 6312.9027, 6349.5926, 6404.0775, 6326.986, 6283.8685, 6309.9021, 6336.8554,
> 6389.1598, 6281.0372,
> 6304.8852, 6359.2651, 6426.519, 6400.3926, 6440.6798, 6292.5812, 6398.4911,
> 6307.0002, 6284.2111, 6271.371, 6368.6377, 6323.3372, 6276.2155,
> 6335.0117, 6319.2466, 6252.9969, 6445.2074, 6461.3944, 6384.1345};
> EmpiricalDistribution ed = new EmpiricalDistribution(data.length);
> ed.load(data);
> double p50 = ed.inverseCumulativeProbability(0.5);
> double p51 = ed.inverseCumulativeProbability(0.51111);
> double p49 = ed.inverseCumulativeProbability(0.49999);
> assertTrue(p51<6350);
> assertTrue(p49<6341);
> assertTrue(p50<7000);
> {code}
> Any clue to fix this ?
>
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