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UID:20251109T105551EST-2674OWV44i@132.216.98.100
DTSTAMP:20251109T155551Z
DESCRIPTION:\n	Title: Change-point analysis for complex data structures\n\n	 
 \n\n	Abstract:\n\n\nThe change-point analysis is more than sixty years old.
  Over this long period\, it has been an important subject of interest in m
 any scientific disciplines such as finance and econometrics\, bioinformati
 cs and genomics\, climatology\, engineering\, and technology.\n\nIn this t
 alk\, I will provide a general overview of the topic alongside some histor
 ical notes. I will then review the most recent and transformative advancem
 ents on the subject. Finally\, I will discuss the change-point methodologi
 es that my research team has developed over the past several years\, cover
 ing various complex data structures.\n\n\n	Speaker\n\n\nShoja Chenouri is a
  Professor and associate chair in the Department of Statistics and Actuari
 al Science at the University of Waterloo. Professor Chenouri’s research in
 terests include: data depth\, multivariate nonparametric and robust method
 s\, geometry of high-dimensional data\, multivariate quality control\, dim
 ensionality reduction.\n\nhttps://mcgill.zoom.us/j/83436686293?pwd=b0RmWml
 XRXE3OWR6NlNIcWF5d0dJQT09\n\nMeeting ID: 834 3668 6293\n\nPasscode: 12345
 \n
DTSTART:20220121T203000Z
DTEND:20220121T213000Z
SUMMARY:Shoja Chenouri
URL:/mathstat/channels/event/shoja-chenouri-336986
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