Open Access
2024 A note on the equivalence between the conditional uncorrelation and the independence of random variables
Piotr Jaworski, Damian Jelito, Marcin Pitera
Author Affiliations +
Electron. J. Statist. 18(1): 653-673 (2024). DOI: 10.1214/24-EJS2212

Abstract

It is well known that while the independence of random variables implies zero correlation, the opposite is not true. Namely, uncorrelated random variables are not necessarily independent. In this note we show that the implication could be reversed if we consider the localised version of the correlation coefficient. More specifically, we show that if random variables are conditionally (locally) uncorrelated for any quantile conditioning sets, then they are independent. For simplicity, we focus on the absolutely continuous case. Also, we illustrate potential usefulness of the stated result using multiple examples.

Funding Statement

Marcin Pitera acknowledges support from the National Science Centre, Poland, via project 2020/37/B/HS4/00120. Part of the work of Damian Jelito was funded by the Priority Research Area Digiworld under the program Excellence Initiative – Research University at the Jagiellonian University in Kraków.

Citation

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Piotr Jaworski. Damian Jelito. Marcin Pitera. "A note on the equivalence between the conditional uncorrelation and the independence of random variables." Electron. J. Statist. 18 (1) 653 - 673, 2024. https://doi.org/10.1214/24-EJS2212

Information

Received: 1 May 2023; Published: 2024
First available in Project Euclid: 23 February 2024

arXiv: 2210.16655
Digital Object Identifier: 10.1214/24-EJS2212

Subjects:
Primary: 60E05 , 62E10 , 62H20

Keywords: Correlation , independence , linear dependence , linear independence , local correlation , Pearson’s correlation , Zero conditional correlation , Zero conditional covariance

Vol.18 • No. 1 • 2024
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