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SUMMARY:Statistics for Topological and Discrete Data
DTSTART:20200525T080000
DTEND:20200529T180000
DTSTAMP:20260502T080315Z
UID:020b7d8492bc3fa7081f2011f0f9356d3621cdffc7d2bdaaee4ea6c3
CATEGORIES:Conferences - Seminars
DESCRIPTION:Topological and discrete data such as trees and networks const
 itute strongly non-Euclidean structures\, often beyond the reach of tradit
 ional statistical tools. Their analysis is often challenged by computation
 al tractability\, as natural constraints such as permutation invariance ar
 e computationally hard to implement. Still\, such data can be often transp
 osed into more familiar contexts\, whether by transformation\, asymptotic 
 arguments\, or replicated observations. This workshop will explore both mo
 delling and processing of discrete structures\, also drawing in areas such
  as signal processing on graphs and nonparametrics.\n\nPart of the Semeste
 r : Functional Data Analysis\n 
LOCATION:GA 3 21 https://plan.epfl.ch/?room==GA%203%2021
STATUS:CANCELLED
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