Timeline for Distance metric between two sample distributions (histograms)
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 20, 2016 at 7:32 | answer | added | Maxim | timeline score: 3 | |
| Aug 17, 2012 at 11:02 | comment | added | Stéphane Laurent | Some proposals here: stats.stackexchange.com/questions/25764/… | |
| Jul 27, 2012 at 19:49 | vote | accept | Marc Kjerland | ||
| Jul 26, 2012 at 15:20 | answer | added | R W | timeline score: 10 | |
| Jul 26, 2012 at 5:46 | comment | added | Ashok | Kullback-Leibler divergence(or the relative entropy) is the most commonly used one to measure the dissimilarity between two probability distributions. It also depends on what properties do you expect your dissimilarity measure to have. The following paper, which has got free access, might give you some idea: mdpi.com/1099-4300/10/3/261 . | |
| Jul 26, 2012 at 5:33 | answer | added | R Hahn | timeline score: 11 | |
| Jul 25, 2012 at 23:14 | history | edited | Marc Kjerland | CC BY-SA 3.0 |
added more background
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| Jul 25, 2012 at 20:16 | comment | added | Marc Kjerland | The Levy-Prokhorov metric is looks useful from an analytic point of view, but since I'm working with discrete sample distributions I don't think that will be helpful for me. | |
| Jul 25, 2012 at 19:19 | comment | added | Anthony Quas | The Levy-Prokhorov metric? (see wikipedia) | |
| Jul 25, 2012 at 19:06 | history | asked | Marc Kjerland | CC BY-SA 3.0 |