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SUMMARY:Detection and Exploitation of Nonstationarities in Time Series Dat
 a - Nason\, G (University of Bristol)
DTSTART:20140113T153000Z
DTEND:20140113T163000Z
UID:TALK49788@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:In recent years\, with disciplines becoming increasingly quant
 itative\, time series exhibiting nonstationary characteristics have prolif
 erated. Such proliferation is partly due to our improved ability to collec
 t longer series enabling the detection of nonstationarities and nonlineari
 ties that could not be found before. Time series are more complex too\, no
 t only are we faced by classical univariate and multivariate series but ti
 me series on graphs\, manifolds and fractal-like domains. This talk provid
 es an overview on the detection of nonstationarities and how to exploit th
 em to provide a richer understanding of their underlying characteristics. 
 We exhibit these techniques on a variety of data sets arising in earth sci
 ences\, economics and epidemics.\n
LOCATION:Seminar Room 1\, Newton Institute
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