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For: Wiesel JC. Measuring association with Wasserstein distances. BERNOULLI 2022. [DOI: 10.3150/21-bej1438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Number Cited by Other Article(s)
1
Li T, Yu J, Meng C. Scalable model-free feature screening via sliced-Wasserstein dependency. J Comput Graph Stat 2023. [DOI: 10.1080/10618600.2023.2183213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
2
Explaining classifiers with measures of statistical association. Comput Stat Data Anal 2023. [DOI: 10.1016/j.csda.2023.107701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
3
Wiesel JC. Measuring association with Wasserstein distances. BERNOULLI 2022. [DOI: 10.3150/21-bej1438] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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