Timeline for Outlier detection for skewed data

12 events

when toggle format	what		by	license	comment
Sep 4 at 12:07	history	edited	Nick Cox	CC BY-SA 4.0	added 124 characters in body
Sep 4 at 9:13	history	edited	Nick Cox	CC BY-SA 4.0	added 119 characters in body
Sep 4 at 8:56	history	edited	Nick Cox	CC BY-SA 4.0	added 775 characters in body
Aug 30, 2019 at 14:19	history	edited	Nick Cox	CC BY-SA 4.0	deleted 1 character in body
May 19, 2018 at 10:52	comment	added	Travis L		In practice one could also apply kernel density estimation to the sample and perform outlier detection on the estimated density. There is some published research in this area such as “Outlier Detection with Kernel Density Functions” by Latecki et al. or “Generalized outlier detection with flexible kernel density estimates” by Schubert et al.
May 18, 2018 at 14:56	history	edited	Nick Cox	CC BY-SA 4.0	added 164 characters in body
May 18, 2018 at 7:41	history	edited	Nick Cox	CC BY-SA 4.0	deleted 4 characters in body
May 18, 2018 at 6:54	history	edited	Roland	CC BY-SA 4.0	added 4 characters in body
May 17, 2018 at 21:22	history	edited	Nick Cox	CC BY-SA 4.0	added 97 characters in body
May 17, 2018 at 17:14	history	edited	Nick Cox	CC BY-SA 4.0	added 114 characters in body
May 17, 2018 at 16:45	history	edited	Nick Cox	CC BY-SA 4.0	added 373 characters in body
May 17, 2018 at 16:38	history	answered	Nick Cox	CC BY-SA 4.0