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DTSTART:20241103T020000
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UID:calendar.3589.events_uoft_date.0@www.statistics.utoronto.ca
CREATED:20241120T173503Z
DESCRIPTION:\nWhen and Where: \nThursday, December 05, 2024 11:00 am to 1
 2:00 pm \n\nSpeakers \nWesley Burr, Trent University \n\nDescription: \nA
 cross the mid-to-late 20th century, epidemiologists developed an understa
 nding of the impacts of ambient air pollution on human health, inspired b
 oth by observed conditions due to chronic exposure, and by extreme climat
 e events which provided natural (extreme) experiments. However, as an eco
 logical problem, it proved difficult to validate acute exposure impacts -
  there simply wasn't enough data! In this talk I will discuss a series of 
 connected problems in applied statistics that I have explored, worked on\
 , or been connected to across the last decade, all stemming from a common
  question: given broad population-level measurements of air pollution and 
 climate, and aggregate population-level health counts, what can we estim
 ate about the acute impacts of air pollution exposure on human health? Man
 y of these problems become time series problems, so there is a distinct f
 lavour of those methods in this talk.About Wesley BurrWesley Burr is an As
 sociate Professor and Department Chair in the Department of Mathematics & 
 Statistics at Trent University, Peterborough, Ontario. He completed his 
 PhD in statistics under David J. Thomson at Queen's University in 2012, a
 nd after several years working as a Postdoctoral Research Fellow in Health
  Canada's Population Studies Division in Ottawa, joined Trent University 
 in 2016, becoming Chair in 2022. Wesley has been a member of the Statisti
 cal Society of Canada for almost 15 years, and has recently ended six yea
 rs serving on the executive of the Statistics Education Section. He remain
 s Chair of the Statistics Education Awards committee. He is also on the ex
 ecutive of The International Environmetrics Society (TIES), and serves as
  Associate Director (Small Institutions) for the Canadian Statistical Scie
 nces Institute. His research interests include time series analysis and sp
 ectrum estimation, environmental epidemiology, forensic statistics, sta
 tistics education, and any interesting problems in the analysis of scient
 ific data. \n\nCategories \n Seminar SeriesStatistics Colloquium \n\nAudie
 nces \n FacultyGraduate Students
DTSTART;TZID=America/New_York:20241205T110000
DTEND;TZID=America/New_York:20241205T120000
LAST-MODIFIED:20241120T173544Z
SUMMARY:Some Statistical Problems Inspired by Air Pollution
URL;TYPE=URI:https://www.statistics.utoronto.ca/events/some-statistical-pro
 blems-inspired-air-pollution
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