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X-ORIGINAL-URL:https://canssiontario.utoronto.ca/
BEGIN:VEVENT
UID:MEC-5dd0565bef8f4fb788527a171d688538@canssiontario.utoronto.ca
DTSTART:20241018T193000Z
DTEND:20241018T203000Z
DTSTAMP:20240802T152700Z
CREATED:20240802
LAST-MODIFIED:20241018
SUMMARY:CAST Seminar: Haijun Li
DESCRIPTION:\nJoin us at the CANSSI Ontario STatistics Seminars (CAST) with\n\n\n\nDr. Haijun Li\n\n\n\nProfessorDepartment of Mathematics and StatisticsWashington State University\n\n\n\nFree Hybrid (On Line/In Person) Event | Registration Required\n\n\n\nTalk Title\n\n\n\nTail Dependence of Copulas\n\n\n\nAbstract\n\n\n\nCopulas are multivariate distributions with univariate margins uniformly distributed on [0, 1], utilized to study scale-invariant dependence among random variables. In this talk, we will explore the copula method for analyzing multivariate extremes, with a particular emphasis on the tail densities of copulas. We will demonstrate how these tail densities can effectively capture extremal dependence arising from both multivariate regular variation and multivariate rapid variation.\n\n\n\nSpeaker Profile\n\n\n\nDr. Haijun Li is a Professor in the Department of Mathematics and Statistics at Washington State University. He received his Ph.D. in Mathematics from the University of Arizona in 1994. Dr. Li’s current research focuses on applying copulas to analyze multivariate extremes.\n
URL:https://canssiontario.utoronto.ca/event/cast-haijun-li/
ORGANIZER;CN=CANSSI Ontario:MAILTO:esther.berzunza@utoronto.ca
CATEGORIES:CANSSI Ontario Statistics Seminars
LOCATION:Herzberg Building, 4th floor, 1125 Colonel By Drive, Ottawa, ON
ATTACH;FMTTYPE=image/jpeg:https://canssiontario.utoronto.ca/wp-content/uploads/2024/08/LiHaijun-Calendar-scaled.jpg
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