Correlation-based and-operations can be copulas: a proof

Enrique Miralles-Dolz, Ander Gray, Edoardo Patelli, Scott Ferson, Vladik Kreinovich, Olga Kosheleva

Research output: Working paperWorking Paper/Preprint

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Abstract

In many practical situations, we know the probabilities a and b of two events A and B, and we want to estimate the joint probability Prob(B). The algorithm that estimates the joint probability based on the known values a and b is called an and-operation. An important case when such a reconstruction is possible is when we know the correlation between A and B; we call the resulting and-operation correlation-based. On the other hand, in statistics, there is a widely used class of and-operations known as copulas. Empirical evidence seems to indicate that the correlation-based and-operation derived in https://doi.org/10.1007/978-3-031-08971-8_64 is a copula, but until now, no proof of this statement was available. In this paper, we provide such a proof.
Original languageEnglish
Place of PublicationIthaca, NY
Number of pages19
DOIs
Publication statusPublished - 13 Jan 2023

Keywords

  • joint probability
  • and-operation
  • copulas

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