Let X and Y be two nonnegative and dependent random variables following a generalized Farlie-Gumbel-Morgenstern distribution. In this short note, we study the impact of a dependence structure of X and Y on the tail behavior of XY. We quantify the impact as the limit, as x-->[infinity], of the quotient of Pr(XY>x) and Pr(X*Y*>x), where X* and Y* are independent random variables identically distributed as X and Y, respectively. We obtain an explicit expression for this limit when X is regularly varying or rapidly varying tailed.Generalized Farlie-Gumbel-Morgenstern distribution Product Rapid variation Regular variation Tail probability
Tail risk refers to the risk associated with extreme values and is often affected by extremal depend...
We consider the problem of a sum of two dependent and heavy tailed distributions through the C-convo...
Abstract. In this paper, some of the most important statistical properties concern-ing the product a...
Given a pair of absolutely continuous random variables (X, Y) distributed as the generalized Farlie-...
Let {Xk,k=1,2,...} be a sequence of negatively dependent random variables with common distribution F...
AbstractGiven a pair of absolutely continuous random variables (X,Y) distributed as the generalized ...
We consider the tail behavior of the product of two independent nonnegative random variables X and Y...
Stochastic dependence arises in many fields including electrical grid reliability, network/internet ...
Abstract: In this paper, we study the asymptotic behavior of the tail of X1 +X2 in a dependent frame...
We consider the multivariate Farlie-Gumbel-Morgenstern class of distributions and discuss their prop...
The tail dependence of multivariate distributions is frequently studied via the tool of copulas. Thi...
Abstract This paper investigates the asymptotic behavior of the tail probability of a weighted infin...
In our thesis we analyze one class of heavy-tailed distributions. Distributions belonging to this cl...
The tail of the distribution of a sum of a random number of independent and identically distributed ...
Abstract. Models based on assumptions of multivariate regular variation and hidden regular variation...
Tail risk refers to the risk associated with extreme values and is often affected by extremal depend...
We consider the problem of a sum of two dependent and heavy tailed distributions through the C-convo...
Abstract. In this paper, some of the most important statistical properties concern-ing the product a...
Given a pair of absolutely continuous random variables (X, Y) distributed as the generalized Farlie-...
Let {Xk,k=1,2,...} be a sequence of negatively dependent random variables with common distribution F...
AbstractGiven a pair of absolutely continuous random variables (X,Y) distributed as the generalized ...
We consider the tail behavior of the product of two independent nonnegative random variables X and Y...
Stochastic dependence arises in many fields including electrical grid reliability, network/internet ...
Abstract: In this paper, we study the asymptotic behavior of the tail of X1 +X2 in a dependent frame...
We consider the multivariate Farlie-Gumbel-Morgenstern class of distributions and discuss their prop...
The tail dependence of multivariate distributions is frequently studied via the tool of copulas. Thi...
Abstract This paper investigates the asymptotic behavior of the tail probability of a weighted infin...
In our thesis we analyze one class of heavy-tailed distributions. Distributions belonging to this cl...
The tail of the distribution of a sum of a random number of independent and identically distributed ...
Abstract. Models based on assumptions of multivariate regular variation and hidden regular variation...
Tail risk refers to the risk associated with extreme values and is often affected by extremal depend...
We consider the problem of a sum of two dependent and heavy tailed distributions through the C-convo...
Abstract. In this paper, some of the most important statistical properties concern-ing the product a...