Correlation-Based And-Operations Can Be Copulas: A Proof

التفاصيل البيبلوغرافية
العنوان: Correlation-Based And-Operations Can Be Copulas: A Proof
المؤلفون: Miralles-Dolz, Enrique, Gray, Ander, Patelli, Edoardo, Ferson, Scott, Kreinovich, Vladik, Kosheleva, Olga
سنة النشر: 2023
المجموعة: Mathematics
Statistics
مصطلحات موضوعية: Statistics - Other Statistics, Mathematics - Logic, Mathematics - Probability, Statistics - Applications, Statistics - Computation
الوصف: 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 ${\rm Prob}(A\,\&\,B)$. 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.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2301.05507
رقم الأكسشن: edsarx.2301.05507
قاعدة البيانات: arXiv