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UID:69f5748ec7720
DTSTART;TZID=America/Toronto:20170511T160000
SEQUENCE:0
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DTEND;TZID=America/Toronto:20170511T160000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-professor-peter-diggle
LOCATION:STC - Science Teaching Complex 200 University Ave West Room: STC 0
 050 Waterloo ON N2L 3G1 Canada
SUMMARY:David Sprott Distinguished Lecture by Professor Peter Diggle\,\nLan
 caster University
CLASS:PUBLIC
DESCRIPTION:A TALE OF TWO PARASITES: HOW CAN GAUSSIAN PROCESSES CONTRIBUTE 
 TO\nIMPROVED PUBLIC HEALTH IN AFRICA?\n\nIn this talk\, I will rst make so
 me general comments about the role of\nstatistical modelling in scientic r
 esearch\, illustrated by two\nexamples from infectious disease epidemiolog
 y. I will then describe in\ndetail how statistical modelling based on Gaus
 sian spatial stochastic\nprocesses has been used to construct region-wide 
 risk maps to inform\nthe operation of a multi-national control programme f
 or onchocerciasis\n(river blindness) in equatorial Africa. Finally\, I wil
 l describe\nwork-in progress aimed at exploiting recent developments in mo
 bile\nmicroscopy to enable more precise local predictions of community-lev
 el\nrisk.
DTSTAMP:20260502T035038Z
END:VEVENT
BEGIN:VEVENT
UID:69f5748ec85c7
DTSTART;TZID=America/Toronto:20161020T160000
SEQUENCE:0
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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:20260502T035038Z
END:VEVENT
BEGIN:VEVENT
UID:69f5748ec8f68
DTSTART;TZID=America/Toronto:20160512T160000
SEQUENCE:0
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URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-martin-wainwright
SUMMARY:David Sprott Distinguished Lecture by Martin Wainwright\, Universit
 y of\nCalifornia\, Berkeley
CLASS:PUBLIC
DESCRIPTION:SOME NEW PHENOMENA IN HIGH-DIMENSIONAL STATISTICS AND OPTIMIZAT
 ION
DTSTAMP:20260502T035038Z
END:VEVENT
BEGIN:VEVENT
UID:69f5748ec9516
DTSTART;TZID=America/Toronto:20150924T160000
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DTEND;TZID=America/Toronto:20150924T160000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-raymond-j-carroll-texas
LOCATION:MC - Mathematics &amp; Computer Building 200 University Avenue West 40
 21 Waterloo ON N2L 3G1 Canada
SUMMARY:David Sprott distinguished lecture by Raymond J. Carroll\, Texas A&amp;
 M\nUniversity
CLASS:PUBLIC
DESCRIPTION:CONSTRAINED MAXIMUM LIKELIHOOD ESTIMATION FOR MODEL CALIBRATION
  USING\nSUMMARY-LEVEL INFORMATION FROM EXTERNAL BIG DATA SOURCES.\n\nInfor
 mation from various public and private data sources of extremely\nlarge sa
 mple
DTSTAMP:20260502T035038Z
END:VEVENT
BEGIN:VEVENT
UID:69f5748ec9c69
DTSTART;TZID=America/Toronto:20130913T143000
SEQUENCE:0
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DTEND;TZID=America/Toronto:20130913T143000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-jerome-friedman
LOCATION:M3 - Mathematics 3 200 University Avenue West 1006 Waterloo ON N2L
  3G1 Canada
SUMMARY:David Sprott Distinguished Lecture by Jerome Friedman
CLASS:PUBLIC
DESCRIPTION:SPARSITY\, BOOSTING AND ENSEMBLE METHODS\n\nStatistical or mach
 ine learning involves predicting future outcomes\nfrom past observations.
  Many present day applications involve large\nnumbers of predictor variab
 les\, sometimes much larger than the number\nof cases or observations ava
 ilable to train the learning algorithm.\nIn such situations traditional s
 tatistical methods fail.
DTSTAMP:20260502T035038Z
END:VEVENT
BEGIN:VEVENT
UID:69f5748eca377
DTSTART;TZID=America/Toronto:20130110T160000
SEQUENCE:0
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DTEND;TZID=America/Toronto:20130110T160000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/first-annu
 al-distinguished-lecture-david-spiegelhalter
LOCATION:MC - Mathematics &amp; Computer Building 200 University Avenue West 10
 85 Waterloo ON N2L 3G1 Canada
SUMMARY:First annual distinguished lecture by David Spiegelhalter
CLASS:PUBLIC
DESCRIPTION:DON'T KNOW\, CAN'T KNOW: COMMUNICATING RISK AND DEEPER UNCERTAI
 NTY\n\nDavid Spiegelhalter\, Winton Professor of the Public Understanding 
 of\nRisk\, University of Cambridge
DTSTAMP:20260502T035038Z
END:VEVENT
BEGIN:VEVENT
UID:69f5748ecaa61
DTSTART;TZID=America/Toronto:20140925T143000
SEQUENCE:0
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DTEND;TZID=America/Toronto:20140925T143000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-eduardo-s-schwartz
LOCATION:MC - Mathematics &amp; Computer Building 200 University Avenue West 40
 61 Waterloo ON N2L 3G1 Canada
SUMMARY:David Sprott Distinguished Lecture by Eduardo S. Schwartz
CLASS:PUBLIC
DESCRIPTION:THE REAL OPTIONS APPROACH TO VALUATION: CHALLENGES AND OPPORTUN
 ITIES\n\nThis lecture provides an overview of the real options approach to
 \nvaluation mainly from the point of view of the author who has worked\nin
  this area for over 30 years. After a general introduction to the\nsubject
 \, numerical procedures to value real options are discussed.
DTSTAMP:20260502T035038Z
END:VEVENT
BEGIN:VEVENT
UID:69f5748ecb6fe
DTSTART;TZID=America/Toronto:20140514T160000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20140514T160000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-art-b-owen
LOCATION:MC - Mathematics &amp; Computer Building 200 University Avenue West 10
 85 Waterloo ON N2L 3G1 Canada
SUMMARY:David Sprott Distinguished Lecture by Art B. Owen
CLASS:PUBLIC
DESCRIPTION:EMPIRICAL LIKELIHOOD\n\nLikelihood methods provide one of the m
 ost versatile and effective\nways to handle data. They give us tests and c
 onfidence intervals with\nvery strong optimality measures. But the cost fo
 r using them is\nusually that we have to know a family of distributions ge
 nerating our\ndata.
DTSTAMP:20260502T035038Z
END:VEVENT
BEGIN:VEVENT
UID:69f5748ecc146
DTSTART;TZID=America/Toronto:20150514T160000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20150514T160000
URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-bill-woodall
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1302 Waterloo ON N2L 3G1 Canada
SUMMARY:David Sprott distinguished lecture by William Woodall\, Virginia Te
 ch
CLASS:PUBLIC
DESCRIPTION:MONITORING AND IMPROVING SURGICAL QUALITY\n\nSome statistical i
 ssues related to the monitoring of surgical quality\nwill be reviewed in t
 his presentation. The important role of\nrisk-adjustment in healthcare\, u
 sed to account for variations in the\ncondition of patients\, will be desc
 ribed. Some of the methods for\nmonitoring quality over time\, including a
  new one\, will be outlined\nand illustrated with examples.
DTSTAMP:20260502T035038Z
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