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DTSTART:20211107T020000
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UID:calendar.431551.field_event_date.0@www.wright.edu
DTSTAMP:20260219T225934Z
CREATED:20211025T183804Z
DESCRIPTION:Jun Li\, Ph.D.Kent State UniversityOnline Change-Point Detectio
 n in High-Dimensional DataMeet-n-Greet: 2:30 p.m. (Virtual)Talk: 3 p.m. (V
 irtual)Host: Zheng Xu\, Ph.D.ABSTRACT:We propose some new procedures to de
 tect a change point in high-dimensional online data. Theoretical propertie
 s of the proposed procedures are explored in the high dimensional setting.
  More precisely\, we derive their average run lengths (ARLs) when there is
  no change point\, and expected detection delays (EDDs) when there is a ch
 ange point. Accuracy of the theoretical results is confirmed by simulation
  studies. The practical use of the proposed procedures is demonstrated by 
 real data.SPEAKER BIO:Dr. Li is currently an associate professor at Depart
 ment of Mathematical Sciences at Kent State University. He received his Ph
 .D. in Statistics from Iowa State University in 2013. His research interes
 ts are in high-dimensional data inference with application to biological s
 tudies\, high-dimensional (online and offline) change point analysis\, var
 iable selection/feature selection for high dimensional data\, and nonparam
 etric method. Dr. Li performs as a PI in an NSF grant in 2019-2022 and as 
 a multi-PD/PI in an NIH grant in 2020-2023. Dr. Li has multiple publicatio
 ns including three articles in Annals of Statistics.Dr. Li's webpageEvent 
 Webpage: https://wright.webex.com/wright/j.php?MTID=m2c80833e7053fdfcf3eec
 3932abc2876
DTSTART;TZID=America/New_York:20211029T143000
DTEND;TZID=America/New_York:20211029T160000
LAST-MODIFIED:20211025T190137Z
LOCATION:Webex
SUMMARY:Colloquium- 'Online Change-Point Detection in High Dimensional Data
 ' with Dr. Jun Li from Kent State University
URL;TYPE=URI:/events/colloquium-online-change-point-d
 etection-high-dimensional-data-dr-jun-li-kent-state
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