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SUMMARY:MSG Design of Experiments Seminar Series: The war against bias: ex
 perimental design for big data - Henry Wynn (London School of Economics)
DTSTART:20180620T130500Z
DTEND:20180620T135500Z
UID:TALK106936@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>The talk first&nbsp\;reviews&nbsp\; work (by others) on 
 optimal  experimental&nbsp\;design for &ldquo\;big data&rdquo\;. This rang
 es from methods arising  from the social and medical&nbsp\; sciences\, par
 ticularly in causal modelling\,  to recent work&nbsp\;which tries to extra
 ct an optimum design from a loosely  structured data set of covariates and
  also&nbsp\;the literature on optimal  design to guard against bias.&nbsp\
 ;The authors draw&nbsp\;on some of&nbsp\;&nbsp\;this work but  take a more
  game-theoretic approach. The idea is that the causal  modelling operation
 \, run by an notional &ldquo\;Alice&rdquo\;\, needs a shield  protecting a
 gainst bias built by a notional&nbsp\;&ldquo\;Bob&rdquo\;. The two operati
 on can  act&nbsp\; harmoniously&nbsp\; when the joint operation is a over&
 nbsp\;product space  but\, even when not\,&nbsp\; a Nash equilibrium may b
 e achievable\, which  balances the two objectives. <br></span><br>Joint wo
 rk with Elena Pesce and Eva Riccomagno.
LOCATION:Seminar Room 1\, Newton Institute
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