2018
DOI: 10.1155/2018/5872195
|View full text |Cite
|
Sign up to set email alerts
|

Why Are FGM Copulas Successful? A Simple Explanation

Abstract: One of the most computationally convenient nonredundant ways to describe the dependence between two variables is by describing the corresponding copula. In many applications, a special class of copulas—known as FGM copulas—turned out to be most successful in describing the dependence between quantities. The main result of this paper is that these copulas are the fastest to compute, and this explains their empirical success. As an auxiliary result, we also show that a similar explanation can be given in terms o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
8
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 17 publications
(8 citation statements)
references
References 9 publications
(5 reference statements)
0
8
0
Order By: Relevance
“…In this paper, we exploit the FGM Copula function to analyse the performance metrics of our proposed channel model. From empirical viewpoint, the FGM Copulas are the easiest cases to compute the joint PDFs [19]. The FGM Copula is defined as follows:…”
Section: Copula Definitionmentioning
confidence: 99%
“…In this paper, we exploit the FGM Copula function to analyse the performance metrics of our proposed channel model. From empirical viewpoint, the FGM Copulas are the easiest cases to compute the joint PDFs [19]. The FGM Copula is defined as follows:…”
Section: Copula Definitionmentioning
confidence: 99%
“…In this article, we exploit the FGM Copula function to analyze the performance metrics of the proposed system model. From empirical viewpoint, the FGM Copulas are the easiest cases to compute the joint PDFs 31 . The FGM Copula is defined as follows: Cu1,u2=u1u21+θ1u11u2, where θfalse[1,1false] is a dependence structure parameter and uiFxi for i=1,2.…”
Section: Channel Model Definitions and Preliminariesmentioning
confidence: 99%
“…From empirical viewpoint, the FGM Copulas are the easiest cases to compute the joint PDFs. 31 The FGM Copula is defined as follows:…”
Section: Theorem 1 (Sklar's Theorem)mentioning
confidence: 99%
“…From the empirical viewpoint, the FGM Copula is the fastest case to process the statistical data and the easiest way to compute the joint distribution [24 ]. The FGM Copula CF is defined as CFfalse(u,vfalse)=uvfalse(1+θFfalse(1ufalse)false(1vfalse)false), where θFfalse[1,1false] is a dependence structure parameter of FGM Copula.…”
Section: Review Of Copula Theorymentioning
confidence: 99%