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DTSTAMP:20260829T161545Z
DESCRIPTION:\n	Mesoscale two-sample testing for networks\n\n	 \n\n\nAbstract:
 \n\nNetworks arise naturally in many scientific fields as a representation
  of pairwise connections. Statistical network analysis has most often cons
 idered a single large network\, but it is common in a number of applicatio
 ns\, for example\, neuroimaging\, to observe multiple networks on a shared
  node set. When these networks are grouped by case-control status or anoth
 er categorical covariate\, the classical statistical question of two-sampl
 e comparison arises. In this work\, we address the problem of testing for 
 statistically significant differences in a prespecified subset of the conn
 ections. This general framework allows an analyst to focus on a single nod
 e\, a specific region of interest\, or compare whole networks. In this “me
 soscale” setting\, we develop statistically sound projection-based tests f
 or two-sample comparison in both weighted and binary edge networks. Our ap
 proach can leverage all available network information\, and learn informat
 ive projections which improve testing power when low-dimensional network s
 tructure is present.\n\nSpeaker\n\nDr MacDonald is a postdoctoral scholar 
 here at McGill University. He received his PhD from the University of Mich
 igan in 2023\, under the supervision of Elizaveta Levina and Ji Zhu. Later
  this year\, Peter will begin his post as an Assistant Professor at the Un
 iversity of Waterloo.\n\nhttps://mcgill.zoom.us/j/87465663442\n\nMeeting I
 D: 874 6566 3442\n\nPasscode: None\n
DTSTART:20240209T203000Z
DTEND:20240209T213000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
  Sherbrooke Ouest
SUMMARY:Peter William MacDonald (McGill University)
URL:https://www.mcgill.ca/mathstat/channels/event/peter-william-macdonald-m
 cgill-university-355214
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