Statistical data analysis in the Wasserstein space*
This paper is concerned by statistical inference problems from a data set whose elements may be modeled as random probability measures such as multiple histograms or point clouds. We propose to review recent contributions in statistics on the use of Wasserstein distances and tools from optimal trans...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | ESAIM: Proceedings and Surveys |
| Online Access: | https://www.esaim-proc.org/articles/proc/pdf/2020/02/proc206801.pdf |