On the limit behavior of iterated equilibrium distributions for the Gamma and Weibull families

01/07/2019
by   Idir Arab, et al.
0

In this paper, we study the evolution of iterated equilibrium distributions for the Gamma and Weibull families of distributions as the iteration step increases. We characterize their moments and the pointwise limit of the distribution functions corresponding to the iterated distributions. As a byproduct, we obtain approximations for higher order moments of the residual lifetime.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
09/16/2022

On the moments of the variance-gamma distribution

We obtain new closed-form formulas for the moments and absolute moments ...
research
09/18/2023

On the gamma difference distribution

The gamma difference distribution is defined as the difference of two ga...
research
05/21/2020

Matrix moments of the diffusion tensor distribution

Purpose: To facilitate the implementation/validation of signal represent...
research
01/28/2020

Discriminating between and within (semi)continuous classes of both Tweedie and geometric Tweedie models

In both Tweedie and geometric Tweedie models, the common power parameter...
research
07/19/2022

Deep equilibrium networks are sensitive to initialization statistics

Deep equilibrium networks (DEQs) are a promising way to construct models...
research
02/24/2023

The number of descendants in a random directed acyclic graph

We consider a well known model of random directed acyclic graphs of orde...
research
11/28/2022

Gamma-convergence of a nonlocal perimeter arising in adversarial machine learning

In this paper we prove Gamma-convergence of a nonlocal perimeter of Mink...

Please sign up or login with your details

Forgot password? Click here to reset