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DTSTART;TZID=America/Toronto:20201203T160000
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URL:/statistics-and-actuarial-science/events/david-spro
 tt-distinguished-lecture-trevor-hastie
SUMMARY:David Sprott Distinguished Lecture by Trevor Hastie
CLASS:PUBLIC
DESCRIPTION:Summary \n\nPlease Note: This seminar will be given online.\n\
 nDistinguished Lecture Series\n\nTREVOR HASTIE [https://web.stanford.edu/~
 hastie/index.html]\, THE JOHN\nA. OVERDECK PROFESSOR OF MATHEMATICAL SCIEN
 CES\, PROFESSOR OF\nSTATISTICS AND PROFESSOR OF BIOMEDICAL DATA SCIENCE\n_
 Stanford University_\n\nRegister online through Webex\n[https://uwaterloo.
 webex.com/mw3300/mywebex/default.do?nomenu=true&siteurl=uwaterloo&service=
 6&rnd=0.17410161367893306&main_url=https%3A%2F%2Fuwaterloo.webex.com%2Fec3
 300%2Feventcenter%2Fevent%2FeventAction.do%3FtheAction%3Ddetail%26%26%26EM
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 9acc5159a0%26siteurl%3Duwaterloo%26confViewID%3D176174005310464845%26encry
 ptTicket%3DSDJTSwAAAAQ6xVBTIkP5zQUPfwQnuITHKKSbVoydnrz6U8dBeEMYQg2%26].\n\
 nPREDICTIVE MODELS IN HEALTH RESEARCH\n\n-------------------------\n\nLass
 o\, Random Forests\, and especially Deep Neural Networks are very\npopular
  in data science applications. Do they have a role in health\nresearch\, a
 nd are they likely to replace more traditional statistical\nmodels? In thi
 s talk I will argue that it depends on the application\,\nthe amount of da
 ta available\, and the purpose of the modeling\, with\nsome guidance from 
 the \"Occam's razor\" principle.\n\n-------------------------\n 
DTSTAMP:20250517T202229Z
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