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UID:6acefa2b06845
DTSTART;TZID=America/Toronto:20261023T080000
SEQUENCE:0
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URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/waterloo-s
 tudent-conference-statistics-actuarial-science-and
LOCATION:Canada
SUMMARY:Waterloo Student Conference in Statistics\, Actuarial Science and\n
 Finance
CLASS:PUBLIC
DESCRIPTION:ENCOURAGING EXCELLENCE IN GRADUATE STUDENT RESEARCH AND PRESENT
 ATIONS\n\nA conference run by students\, for students. \n\nParticipate in
  the sixth Waterloo student conference hosted by the\nDepartment of Statis
 tics and Actuarial Science! Share your research\,\ndiscuss career opportun
 ities\, and network with researchers and fellow\ngraduate students at this
  in-person conference. 
DTSTAMP:20261014T034235Z
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BEGIN:VEVENT
UID:6acefa2b07ff8
DTSTART;TZID=America/Toronto:20231027T080000
SEQUENCE:0
TRANSP:TRANSPARENT
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:20261014T034235Z
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UID:6acefa2b08e88
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:20261014T034235Z
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UID:6acefa2b09d88
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:20261014T034235Z
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