BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20191103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:686d83d3b689c
DTSTART;TZID=America/Toronto:20200507T160000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20200507T160000
URL:/statistics-and-actuarial-science/events/department
 -seminar-pang-virginia-tech
SUMMARY:Department Seminar by Pang Du\, Virginia Tech.
CLASS:PUBLIC
DESCRIPTION:Summary \n\nPLEASE NOTE: THIS SEMINAR WILL BE GIVEN ONLINE.\n\
 nTWO-SAMPLE TEST ON FUNSCALAR DATA WITH APPLICATION TO HEMODIALYSIS\nMONIT
 ORING BY RAMAN SPECTROSCOPY\n\nTo achieve in-session monitoring of hemodia
 lysis through Raman\nspectroscopy\, it is necessary to compare data consis
 t of Raman spectra\nand intensity values for specific biomarkers (e.g.\, u
 rea) contained in\nwaste dialysate used in hemodialysis treatement. This c
 alls for the\ndevelopment of a two-sample test procedure for funscalar d
 ata\, data\nthat are a mix of functional and scalar variables. Despite a r
 ich\nliterature on univariate functional data testing procedures and a few
 \npublications on multivariate functional data testing procedures\, there\
 nis no such a testing procedure for funscalar data. In this work we\npropo
 se the first testing procedure for funscalar data\, generalizing\nthe func
 tional data approach in Horvath et al (2013). The test\nstatistic is base
 d on the L_2 distance between the two mean funscalar\nobjects. Its asympto
 tic null distribution and asymptotic power are\nstudied. We then demonstra
 te its performance through extensive\nsimulations and its usefulness is th
 rough data collected in our\nhemodialysis monitoring experiments.\n\nThis 
 seminar will be hosted by Webex. \n\nTo join\, please follow this link: 
 Department Seminar by Pang Du\n[https://uwaterloo.webex.com/uwaterloo/onst
 age/g.php?MTID=e231d4b0215e8d1bcf8825a99c778cd02]\n 
DTSTAMP:20250708T204715Z
END:VEVENT
END:VCALENDAR