Title	Analysis of Heavy Rainfall in High Dimensions
Creator	Naveau, Philippe
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2013-05-22
Description	One of the main objectives of statistical climatology is to extract relevant information hidden in complex spatial-temporal climatological datasets. In impact studies, heavy rainfall are of primary importance for risk assessment linked to floods and other hydro- logical events. At an hourly time scale, precipitation distributions often strongly differ from Gaussianity. To identify spatial patterns, most well-known statistical techniques are based on the concept of intra and inter clusters variances (like the k-means algorithm or PCA
Extent	32 minutes
Subject	Mathematics; Statistics; Probability theory and stochastic processes
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: CNRS
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2014-10-04
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivs 2.5 Canada
DOI	10.14288/1.0043335
URI	http://hdl.handle.net/2429/50584
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Other
Rights URI	http://creativecommons.org/licenses/by-nc-nd/2.5/ca/
Aggregated Source Repository	DSpace

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