Swiss Federal Institute of Technology Lausanne, EPFL

Statistics for Topological and Discrete Data

CityLausanne, Lake Geneva region, Switzerland
Date Monday, until
Topological and discrete data such as trees and networks constitute strongly non-Euclidean structures, often beyond the reach of traditional statistical tools. Their analysis is often challenged by computational tractability, as natural constraints such as permutation invariance are computationally hard to implement. Still, such data can be often transposed into more familiar contexts, whether by transformation, asymptotic arguments, or replicated observations. This workshop will explore both modelling and processing of discrete structures, also drawing in areas such as signal processing on graphs and nonparametrics.

Part of the Semester :  Functional Data Analysis


  • Kathryn Hess Bellwald, EPFL
    Sofia Olhede, EPFL
    Katharine Turner, Australian National University

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  • EPFL CH-1015 Lausanne
  • 0041 (0)21 693 11 11

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