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The limiting behavior of some infinitely divisible exponential dispersion models

Statistics Theory 2010-05-19 v1 Probability Statistics Theory

Abstract

Consider an exponential dispersion model (EDM) generated by a probability μ \mu on [0,)[0,\infty ) which is infinitely divisible with an unbounded L\'{e}vy measure ν\nu . The Jorgensen set (i.e., the dispersion parameter space) is then R+\mathbb{R}^{+}, in which case the EDM is characterized by two parameters: θ0\theta _{0} the natural parameter of the associated natural exponential family and the Jorgensen (or dispersion) parameter tt. Denote by EDM(θ0,t)EDM(\theta _{0},t) the corresponding distribution and let YtY_{t} is a r.v. with distribution EDM(θ0,t)EDM(\theta_0,t). Then if ν((x,))logx\nu ((x,\infty ))\sim -\ell \log x around zero we prove that the limiting law F0F_0 of Ytt Y_{t}^{-t} as t0t\rightarrow 0 is of a Pareto type (not depending on θ0 \theta_0) with the form F0(u)=0F_0(u)=0 for u<1u<1 and 1u1-u^{-\ell } for u1 u\geq 1. Such a result enables an approximation of the distribution of Yt Y_{t} for relatively small values of the dispersion parameter of the corresponding EDM. Illustrative examples are provided.

Cite

@article{arxiv.1005.3284,
  title  = {The limiting behavior of some infinitely divisible exponential dispersion models},
  author = {Shaul Bar-Lev and Gerard Letac},
  journal= {arXiv preprint arXiv:1005.3284},
  year   = {2010}
}

Comments

8 pages

R2 v1 2026-06-21T15:24:39.619Z