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UID:20260314T064421EDT-6600I0lm27@132.216.98.100
DTSTAMP:20260314T104421Z
DESCRIPTION:Title: Recovering Critical Signals from Edge Fluctuations Using
  SPDEs\n\nAbstract: In this talk\, we will discuss how a remarkable connec
 tion between stochastic PDEs and signal detection problems in random matri
 x theory leads to new insights regarding the detection of critical signals
 . These are signals that are right at the threshold of detectability using
  classical methods. We will begin by reviewing the basics of the signal de
 tection problem in the simple case of the spiked GOE model. Then\, we will
  explain the connection between the critical signal detection problem and 
 SPDEs\, and the new result that can be proved using this connection. Some 
 of the results that will be discussed in this talk were obtained in collab
 oration with Promit Ghosal\, Wilson Li\, Yuchen Liao\, and Mykhaylo Shkoln
 ikov.\n\nZoom link: https://umontreal.zoom.us/j/83832644262?pwd=gQDOX4997Y
 ehibng7GjtEKwUhqAqNV.1\n
DTSTART:20260312T153000Z
DTEND:20260312T163000Z
LOCATION:Room 920\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue 
 Sherbrooke Ouest
SUMMARY:Pierre Yves Gaudreau Lamarre (Syracuse University) POSTPONED DUE TO
  THE WEATHER
URL:/mathstat/channels/event/pierre-yves-gaudreau-lama
 rre-syracuse-university-postponed-due-weather-371831
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