On extension of 2-copulas for information fusion

IF 1.1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Infor Pub Date : 2024-08-22 DOI:10.1080/03155986.2024.2389594

Ali Fallah Tehrani, Manish Aggarwal

引用次数: 0

Abstract

Copulas are very applicable tools from a statistical point of view. Their capability to model joint distribution makes them a useful tool for statisticians. Yet, they have been applied rarely in mu...

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关于信息融合的 2 科普公式扩展

从统计学的角度来看，Copulas 是非常适用的工具。它们建立联合分布模型的能力使其成为统计学家的有用工具。然而，它们却很少应用于其他领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Infor 管理科学-计算机：信息系统

CiteScore

2.60

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.