4 open (Jan 2022)

Conditional independence and predictive copula

  • González-López V.A.,
  • Litvinoff Justus Vinícius

DOI
https://doi.org/10.1051/fopen/2022022
Journal volume & issue
Vol. 5
p. 20

Abstract

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In this paper, we address the concept of conditional independence between two random variables X and Y given the entity Θ. We identify the impact of conditional independence on the analytic form of the predictive 2-copula between X and Y. We obtain a representation of the predictive 2-copula between X and Y in terms of functions associated with the copulas between X and Θ and between Y and Θ. Through the concept of infinite exchangeable sequences we amplify the validity of our results, obtaining the predictive 2-copula between two variables in terms of the copula between only one of these variables and the quantity Θ.

Keywords