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SUMMARY:Optimal Design of Experiments on Connected Units with Application 
 to Social Networks - Ben Parker (University of Southampton)
DTSTART:20160826T123000Z
DTEND:20160826T131000Z
UID:TALK67072@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span><b>Co-authors: </b>Steven G. Gilmour and John Schormans<
 /span>  <b>&nbsp\;</b> <b><br></b><span><br>When experiments are performed
  on social networks\, it is difficult to justify the usual</span>  assumpt
 ion of treatment-unit additivity\, due to the connections between actors i
 n the  network. We investigate how connections between experimental units 
 affect the design  of experiments on those experimental units. Specificall
 y\, where we have unstructured  treatments\, whose effects propagate accor
 ding to a linear network effects model which we  introduce\, we show that 
 optimal designs are no longer necessarily balanced\; we further  demonstra
 te how experiments which do not take a network effect into account can lea
 d  to much higher variance than necessary and/or a large bias. We show the
  use of this  methodology in a very wide range of experiments in agricultu
 ral trials\, and crossover trials\,  <span>as well as experiments on conne
 cted individuals in a social network.<b></b></span>
LOCATION:Seminar Room 1\, Newton Institute
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