A note on the equivalence between the conditional uncorrelation and the independence of random variables

التفاصيل البيبلوغرافية
العنوان: A note on the equivalence between the conditional uncorrelation and the independence of random variables
المؤلفون: Jaworski, Piotr, Jelito, Damian, Pitera, Marcin
سنة النشر: 2022
المجموعة: Mathematics
Statistics
مصطلحات موضوعية: Mathematics - Statistics Theory, Mathematics - Probability, 60E05, 62E10, 62H20
الوصف: 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 two simple examples.
نوع الوثيقة: Working Paper
DOI: 10.1214/24-EJS2212
URL الوصول: http://arxiv.org/abs/2210.16655
رقم الأكسشن: edsarx.2210.16655
قاعدة البيانات: arXiv