Transfer of Global Measures of Dependence into Cumulative Local

Boyan N. Dimitrov, Sahib Esa, Nikolai Kolev, Georgios Pitselis

Research output: Contribution to journalArticlepeer-review

Abstract

We explore an idea of transferring some classic measures of global dependence between random variables X1,X2,…,Xn into cumulative measures of dependence relative at any point (X1,X2,…,Xn) in the sample space. It allows studying the behavior of these measures throughout the sample space, and better understanding and use of dependence. Some examples on popular copula distributions are also provided.

Original languageAmerican English
JournalApplied Mathematics
Volume5
DOIs
StatePublished - Mar 1 2014

Keywords

  • Analysis of Variance
  • Copula
  • Correlation
  • Covariance
  • Multivariate Analysis
  • Measures of Dependence
  • Probability Modeling

Disciplines

  • Mathematics

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