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SUMMARY:Network Models with Dynamic Vertex Sets - Simon Lunagomez (Univers
 ity College London)
DTSTART:20160726T090000Z
DTEND:20160726T093000Z
UID:TALK66848@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>Many models of dynamic network data assume that the set 
 of nodes (social actors) remains constant over time. By contrast\, we prop
 ose a framework that allows for models where both the set of nodes and the
  social ties connecting them change over time.&nbsp\; We depart from the c
 onventional setup where the distribution of the vertex set is a point mass
 \, and instead model its evolution via a stochastic process.&nbsp\; Our ap
 proach is modular\, in the sense that joint distribution of the vertex set
 s over time can be modeled marginally and then the joint distribution of t
 he edge sets can be specified\, conditionally upon it. The conditional ind
 ependence statements implied by our approach then mean that posterior samp
 ling for the parameters corresponding to these factors (joint distribution
  of the vertex sets\, joint distribution of the edge sets) can be performe
 d separately. We illustrate our methodology via both simulation studies an
 d data analysis.&nbsp\; <br>Joint work with Sofia Olhede and Patrick Wolfe
 .</span>      <br>
LOCATION:Seminar Room 1\, Newton Institute
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