Timeline for Which robust correlation methods are actually used?
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
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| Feb 28, 2022 at 9:13 | comment | added | Nick Cox | First link is broken. Despite some heavyweight authors, a personal view is to agree that this was over-hyped. | |
| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
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| Mar 2, 2017 at 23:15 | comment | added | Cliff AB | Further adding to what @Anony-Mousse and metaperture stated, it's worth noting that one of their key claims about the advantage of their methods was easily proven not only to be false, but trivially impossible (see metaperture's final link). | |
| May 26, 2016 at 19:47 | comment | added | Fix.B. | The statement "non-functional relationships" I think already gives it away... | |
| Aug 20, 2014 at 20:46 | comment | added | metaperture | Specifically, see rebuttals of this approach at: statweb.stanford.edu/~tibs/reshef/comment.pdf, ie.technion.ac.il/~gorfinm/files/science6.pdf, arxiv.org/abs/1301.7745v1 | |
| May 26, 2014 at 9:51 | comment | added | Has QUIT--Anony-Mousse | That article has received a lot of critizism. It seems to be overhyped. Lots and lots and lots of media and PR work, but it seems to fail badly on trivial examples such as ▄▀ which it recognizes as "linear". IIRC their study also was not fair, as in they used ranks for their own method; but compared to pearson instead of spearman correlation. | |
| Dec 24, 2013 at 8:16 | comment | added | sitems | Detecting Novel Associations in Large Data Sets | |
| Dec 24, 2013 at 3:19 | comment | added | Creatron | Can you put the name of the article please? It seems to have disappeared! | |
| Oct 11, 2012 at 12:27 | comment | added | Felix S | Great! I will take a very close look on that. Looks very promising ... | |
| S Oct 11, 2012 at 9:43 | history | answered | sitems | CC BY-SA 3.0 | |
| S Oct 11, 2012 at 9:43 | history | made wiki | Post Made Community Wiki by sitems |