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DTSTART:20240310T070000
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DTSTART:20230312T070000
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DTSTART:20231105T060000
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UID:69f5d512bcec6
DTSTART;TZID=America/Toronto:20240617T090000
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DTEND;TZID=America/Toronto:20240620T170000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/joint-rese
 arch-conference-statistics-quality-industry-and
SUMMARY:Joint Research Conference on Statistics in Quality\, Industry\, and
 \nTechnology
CLASS:PUBLIC
DESCRIPTION:The 2024 Joint Research Conference on Statistics in Quality\, I
 ndustry\nand Technology will be held in Waterloo\, Ontario\, Canada from J
 une\n17-20\, 2024 at the University of Waterloo. This is a joint meeting o
 f\nthe 29th Spring Research Conference on Statistics in Industry and\nTec
 hnology [https://en.wikipedia.org/wiki/Spring_Research_Conference]\nand th
 e 40th Quality and Productivity Research Conference\n[https://community.a
 mstat.org/qp/events/qualityandproductivityresearchconference].\nThe confer
 ence is co-sponsored by the American Statistical Association\nSection on Q
 uality and Productivity\, the American Statistical\nAssociation Section on
  Physical &amp; Engineering Sciences\, and the\nInstitute of Mathematical Stat
 istics. Organization of this conference\nis also in partnership with Virgi
 nia Tech.\n\nThe goal of this conference is to stimulate interdisciplinary
  research\nand innovative solutions to practical problems though interacti
 ons\namong statisticians\, data scientists\, quality professionals\,\nengi
 neers\, students\, and others from diverse fields. The theme of this\nyear
 ’s conference is\, _Data Science and Statistics for Industrial\nInnovati
 on_.The technical program will focus on statistical\nmethodology and creat
 ive problem solving to address scientific\,\nindustrial\, and business cha
 llenges\, drawing upon advances from the\nfields of statistics\, machine l
 earning\, and data science. \n\nOrganization of the conference is underway
 . This website will be\nexpanded with additional details as they arise. To
  contact the\nconference team with questions\, please email Nathaniel Stev
 ens at\nnstevens@uwaterloo.ca.
DTSTAMP:20260502T104226Z
END:VEVENT
BEGIN:VEVENT
UID:69f5d512be1d7
DTSTART;TZID=America/Toronto:20240528T090000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20240529T170000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/life-histo
 ry-analysis-and-survey-sampling-methodology
SUMMARY:Life History Analysis and Survey Sampling Methodology – A Confere
 nce\nCelebrating the 80th Birthdays of Jerry Lawless and Mary Thompson
CLASS:PUBLIC
DESCRIPTION:The Department of Statistics and Actuarial Science is delighted
  to\nannounce that it is hosting a conference to celebrate the remarkable\
 ncontributions of Jerry Lawless and Mary Thompson to the fields of life\nh
 istory analysis and survey sampling methodology. An exciting program\nof s
 peakers has been lined up for what promising to be a stimulating\nand enjo
 yable two days of talks by leading researchers including\ncollaborators\, 
 friends and former students of Mary and Jerry.\n\nA banquet will be held o
 n the evening of the 28th. \n\nORGANIZING COMMITTEE\n\nRichard Cook (Chai
 r)\n\nJoel Dubin\n\nPengfei Li\n\nPeijun Sang\n\nChangbao Wu\n\nYeying Zhu
 \n\n-------------------------\n\nEmail sasevent@uwaterloo.ca for any gener
 al event inquiries.
DTSTAMP:20260502T104226Z
END:VEVENT
BEGIN:VEVENT
UID:69f5d512bec81
DTSTART;TZID=America/Toronto:20240818T090000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20240823T170000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/mcqmc-2024
SUMMARY:Monte Carlo &amp; Quasi-Monte Carlo Methods in Scientific Computing
CLASS:PUBLIC
DESCRIPTION:ORGANIZING COMMITTEE:\n\n* Christiane Lemieux [/statistics-and-
 actuarial-science/node/93]\n * Ben Feng [/statistics-and-actuarial-science
 /node/1015]\n * Adam Kolkiewicz [/statistics-and-actuarial-science/node/90
 ]\n\n-------------------------\n\nEmail mcqmc.2024@uwaterloo.ca for any ge
 neral event inquiries.
DTSTAMP:20260502T104226Z
END:VEVENT
BEGIN:VEVENT
UID:69f5d512bf6a9
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:20260502T104226Z
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