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UID:69f44d1561c54
DTSTART;TZID=America/Toronto:20240531T173000
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URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/mactsc-15
LOCATION:FED - Federation Hall 200 University Avenue West Waterloo ON N2L 3
 G1 Canada
SUMMARY:Master of Actuarial Science (MActSc) 15th Anniversary Event
CLASS:PUBLIC
DESCRIPTION:The Master of Actuarial Science (MActSc) program is celebrating
  its\n15th anniversary. Join us at Federation Hall on Friday\, May 31st\, 
 for\na cocktail reception and dinner. Everyone is welcome!\n \n\nEarly bi
 rd tickets: $55 per person (rate available until April 19th)\nRegular tick
 et: $65 per person
DTSTAMP:20260501T064957Z
END:VEVENT
BEGIN:VEVENT
UID:69f44d15637ea
DTSTART;TZID=America/Toronto:20231027T080000
SEQUENCE:0
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DTEND;TZID=America/Toronto:20231028T170000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/student-co
 nference
LOCATION:Canada
SUMMARY:Waterloo Student Conference in Statistics\, Actuarial Science and\n
 Finance
CLASS:PUBLIC
DESCRIPTION:Waterloo Student Conference in Statistics\, Actuarial Science a
 nd\nFinance
DTSTAMP:20260501T064957Z
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BEGIN:VEVENT
UID:69f44d1564895
DTSTART;TZID=America/Toronto:20200124T100000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/department
 -seminar-michael-gallaugher-mcmaster-university
LOCATION:M3 - Mathematics 3 200 University Avenue West Room 3127 Waterloo O
 N N2L 3G1 Canada
SUMMARY:Department seminar by Michael Gallaugher\, McMaster University
CLASS:PUBLIC
DESCRIPTION:CLUSTERING AND CLASSIFICATION OF THREE-WAY DATA\n\nClustering a
 nd classification is the process of finding and analyzing\nunderlying grou
 p structure in heterogenous data and is fundamental to\ncomputational stat
 istics and machine learning. In the past\, relatively\nsimple techniques c
 ould be used for clustering\; however\, with data\nbecoming increasingly c
 omplex\, these methods are oftentimes not\nadvisable\, and in some cases n
 ot possible. One such such example is\nthe analysis of three-way data wher
 e each data point is represented as\na matrix instead of a traditional vec
 tor. Examples of three-way\ninclude greyscale images and multivariate long
 itudinal data. In this\ntalk\, recent methods for clustering three-way dat
 a will be presented\nincluding high-dimensional and skewed three-way data.
  Both simulated\nand real data will be used for illustration and future di
 rections and\nextensions will be discussed.
DTSTAMP:20260501T064957Z
END:VEVENT
BEGIN:VEVENT
UID:69f44d156561a
DTSTART;TZID=America/Toronto:20161020T160000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20161020T160000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-professor-david-donoho
LOCATION:Mathematics 3 M3 1006 Canada
SUMMARY:David Sprott Distinguished Lecture by Professor David Donoho\, Stan
 ford\nUniversity
CLASS:PUBLIC
DESCRIPTION:FACTOR MODELS AND PCA IN LIGHT OF THE SPIKED COVARIANCE MODEL
DTSTAMP:20260501T064957Z
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