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SUMMARY:Correlated randomly growing graphs - Miklos Racz\, Princeton Unive
 rsity
DTSTART:20210514T150000Z
DTEND:20210514T160000Z
UID:TALK159742@talks.cam.ac.uk
CONTACT:Dr Sergio Bacallado
DESCRIPTION:Correlated random graph models have received much attention re
 cently due to their relevance to various applications\, for instance under
 standing the graph matching problem in an average-case setting. In this ta
 lk I will discuss models of correlated randomly growing graphs. I will foc
 us on the fundamental statistical questions of detecting correlation and e
 stimating aspects of the correlated structure. Our results highlight the i
 nfluence of the seed graph in the underlying growth model and its connecti
 ons with these detection and estimation questions. This is based on joint 
 work with Anirudh Sridhar. \n
LOCATION: https://maths-cam-ac-uk.zoom.us/j/95871364531?pwd=aFZaV0loSWt6Qm
 RDbm5ONWNjTTBjZz09
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