Title	Pairwise Mahalanobis distances in the context of local outlier detection
Creator	Filzmoser, Peter
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2015-11-17T16:10
Description	The Mahalanobis distance between pairs of multivariate observations is used as a measure of similarity between the observations. The theoretical distribution is derived, and the result is used for judging on the degree of isolation of an observation. In case of spatially dependent data where spatial coordinates are available, different exploratory tools are introduced for studying the degree of isolation of an observation from a fraction of its neighbors, and thus to identify local multivariate outliers.
Extent	31 minutes
Subject	Mathematics; Statistics
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Vienna University of Technology
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2016-05-18
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0303101
URI	http://hdl.handle.net/2429/58160
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

Open Collections

BIRS Workshop Lecture Videos