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B1808
Title: Network analysis and nonparametric statistics Authors:  Pierre-Andre Maugis - University College London (United Kingdom) [presenting]
Sofia Olhede - EPFL (Switzerland)
Patrick Wolfe - University College London (United Kingdom)
Abstract: Networks are ubiquitous in today's world. Any time we make observations about people, places, or things and the interactions between them, we have a network. Yet a quantitative understanding of real-world networks is in its infancy, and must be based on strong theoretical and methodological foundations. The goal is to provide some insight into these foundations from the perspective of nonparametric statistics, in particular how trade-offs between model complexity and parsimony can be balanced to yield practical algorithms with provable properties.