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DTSTAMP:20260416T114524Z
DESCRIPTION:Robust Multivariate Denoising\n\nMultivariate smoothing and den
 oising are important tasks in different fields of sciences\, such as engin
 eering\, statistics and signal processing. In this presentation\, I will t
 alk about two multivariate denoising methods. The first one is based on wa
 velet transform\, which is a powerful tool in mathematics. However\, the f
 inite variance condition is supposed for this method. The second method ge
 ts rid of this condition and is based a on a linear stable regression. Sim
 ulations and real data applications confirm the good performance of the pr
 oposed methods.\n
DTSTART:20181122T203000Z
DTEND:20181122T213000Z
LOCATION:Room PK-5115 \, CA\, UQAM Pavillon Kennedy
SUMMARY:Mina Aminghafari\, Amirkabir University of Technology\, Iran
URL:https://www.mcgill.ca/mathstat/channels/event/mina-aminghafari-amirkabi
 r-university-technology-iran-291801
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