BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//AskAlice//Events//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:7c2dafc2-7fd4-4ec0-bb08-086de80d7693@askalice.club
DTSTAMP:20261009T094644Z
DTSTART;TZID=America/New_York:20261023T140000
DTEND;TZID=America/New_York:20261023T150000
SUMMARY:Statistics Seminar Series: Efficient and Stable Box-Cox Regression
  for High-Dimensional Data Analysis
LOCATION:Duques Hall\, 2201 G Street NW\, Washington\, DC
DESCRIPTION:Room 151. Efficient and Stable Box-Cox Regression for High-Dim
 ensional Data Analysis Please join the Statistics Department for a talk f
 eaturing Hui Zou\, professor in the Department of Applied Mathematics and
  Statistics at Johns Hopkins University. The Box-Cox transformation paper
  ranks among the five most-cited articles in the Journal of the Royal Sta
 tistical Society\, Series B. Bickel and Doksum (1981) revisited this clas
 sical model through analysis of the profile likelihood estimator and conc
 luded that "the performance of all Box-Cox type procedures is unstable." 
 We argue\, however\, that the…\n\nhttps://askalice.club/events/7c2dafc2-7
 fd4-4ec0-bb08-086de80d7693
URL:https://askalice.club/events/7c2dafc2-7fd4-4ec0-bb08-086de80d7693
END:VEVENT
END:VCALENDAR