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SUMMARY:Kevin Wilson (Newcastle) - Uncertainty elicitation and quantificat
 ion from experts - 
DTSTART:20200610T133500Z
DTEND:20200610T140500Z
UID:TALK148612@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Abstract: <br><br>The incorporation of uncertainty in assessme
 nts and<br>predictions from mathematical models is critical\, especially i
 f the models are<br>to be used to support real-world decisions. In fast mo
 ving situations such as a<br>global pandemic of an infectious disease\, th
 en data to parameterise models are<br>typically patchy and incomplete\, an
 d sufficient suitable data may not exist for<br>many parameters in model r
 uns of possible future scenarios. In such cases<br>expert judgements can p
 lay an important role\, both to specify uncertainty<br>distributions for p
 arameters with no available data and to supplement data<br>where they are 
 available (via Bayes Theorem\, or more informally). In this talk<br>I will
  discuss the elicitation of uncertainty distributions for individual<br>un
 knowns from a single expert\, the combination of the opinions of multiple<
 br>experts on an unknown into a single uncertainty distribution and the<br
 >elicitation of graphical models\, with an emphasis on Bayesian networks\,
  to<br>produce suitable model structures from experts over multiple depend
 ent<br>unknowns. I will emphasise a behavioural aggregation approach\, the
  SHeffield<br>Elicitation Framework (SHELF)\, for the combination of the o
 pinions of multiple<br>experts\, which will complement the talk from Prof 
 Aspinall on a mathematical<br>aggregation approach\, the Classical Method.
  A running example on the<br>development of a diagnostic test will be used
  to illustrate the ideas\, and I<br>will try to bring out particular issue
 s surrounding infectious disease<br>modelling.<br><br><br><br>Resources:<b
 r><br>&middot\;A probabilistic judgements e-learning course\, aimed at<br>
 explaining elicitation generally and the Sheffield ELicitation Framework<b
 r>specifically:http://www.tonyohagan.co.uk/shelf/ecourse.htm<br><br>&middo
 t\;A textbook providing comprehensive coverage of<br>elicitation: O&#39\;H
 agan et al (2006). Uncertain Judgements: Eliciting Experts&#39\;<br>Probab
 ilities\, Wiley.<br><br>&middot\;Resources to conduct an elicitation using
  SHELF<br>including slide sets\, advice and document templates:http://www.
 tonyohagan.co.uk/shelf/<br><br>&middot\;A series of short videos for an on
 line course on<br>Structured Expert Judgment provided by TU Delft (links a
 re near the top of the<br>page):http://rogermcooke.net/<br><br>&middot\;A 
 textbook discussing the elicitation of probabilistic<br>models: J. Q. Smit
 h (2010). Bayesian decision analysis: principles and<br>practice. Cambridg
 e University Press.<br><br>
LOCATION:Seminar Room 1\, Newton Institute
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