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论概率度量的瓦瑟斯坦中值

IF 1.4 2区 数学 Q2 STATISTICS & PROBABILITY
Journal of Computational and Graphical Statistics Pub Date : 2024-07-01 DOI:10.1080/10618600.2024.2374580
Kisung You, Dennis Shung, Mauro Giuffrè
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引用次数: 0

摘要

总结有限的随机对象集合的主要方法是使用中心倾向度量，如平均值和中位数。在优化运输领域，瓦瑟施泰因中心点（Wasserstein barycente...
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On the Wasserstein Median of Probability Measures
The primary choice to summarize a finite collection of random objects is by using measures of central tendency, such as mean and median. In the field of optimal transport, the Wasserstein barycente...
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来源期刊
Journal of Computational and Graphical Statistics
Journal of Computational and Graphical Statistics 数学-统计学与概率论
CiteScore
3.50
自引率
8.30%
发文量
153
审稿时长
>12 weeks
期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.
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