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pro vyhledávání: '"Weitkamp, Christoph Alexander"'
Optimal transport (OT) based data analysis is often faced with the issue that the underlying cost function is (partially) unknown. This paper is concerned with the derivation of distributional limits for the empirical OT value when the cost function
Externí odkaz:
http://arxiv.org/abs/2301.01287
Autor:
Proksch, Katharina, Weitkamp, Christoph Alexander, Staudt, Thomas, Lelandais, Benoît, Zimmer, Christophe
How can we tell complex point clouds with different small scale characteristics apart, while disregarding global features? Can we find a suitable transformation of such data in a way that allows to discriminate between differences in this sense with
Externí odkaz:
http://arxiv.org/abs/2205.07689
In this paper, we aim to provide a statistical theory for object matching based on the Gromov-Wasserstein distance. To this end, we model general objects as metric measure spaces. Based on this, we propose a simple and efficiently computable asymptot
Externí odkaz:
http://arxiv.org/abs/2006.12287
Autor:
Weitkamp, Christoph Alexander1 (AUTHOR), Proksch, Katharina2 (AUTHOR), Tameling, Carla1 (AUTHOR), Munk, Axel1,3 (AUTHOR) munk@math.uni-goettingen.de
Publikováno v:
Journal of the American Statistical Association. Mar2024, Vol. 119 Issue 545, p538-551. 14p.
Akademický článek
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