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A New Interval Data Distance Based on the Wasserstein Metric
2008Interval data allow statistical units to be described by means of interval values, whereas their representation by single values appears to be too reductive or inconsistent, that is, unable to keep the uncertainty usually inherent to the observed data. In the present paper, we present a novel distance for interval data based on the Wasserstein distance
VERDE, Rosanna, IRPINO, Antonio
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On bounds for norms and conditioning of Wasserstein metric matrix
Applied Mathematics LetterszbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Wasserstein Metric Attack on Person Re-identification
2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022Astha Verma +2 more
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Portfolio optimization using robust mean absolute deviation model: Wasserstein metric approach
Finance Research Letters, 2023Panos M Pardalos
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Minimax Q-learning control for linear systems using the Wasserstein metric
Automatica, 2023Feiran Zhao, Keyou You
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Data-driven risk-averse stochastic optimization with Wasserstein metric
Operations Research Letters, 2018Yongpei Guan, Chaoyue Zhao
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Central limit theorem for Markov processes with spectral gap in the Wasserstein metric
Stochastic Processes and Their Applications, 2012Tomasz Komorowski
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