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On asymptotic properties of high moments of compound Poisson distribution

O. Khorunzhiy

Abstract

We study asymptotic behavior of the moments $M_k(λ)$ of the sum $X_1+\dots+X_{N_λ}$, where $N_λ$ follows the Poisson probability distribution with mean value $λ$ and $\{X_j\}$ is a family of i.i.d. random variables also independent from $N_λ$. We obtain an explicit expression for the leading term of $M_k(λ)$ as $k\to\infty$ and study it in dependence of the asymptotic behavior of $λ= λ_k$. In application, we establish a concentration property of maximal vertex degree of large weighted random graphs. Another application is related with a variable that arises in the studies of high moments of large random matrices. Finally, regarding three particular cases of probability distribution of $X_j$, we comment on the asymptotic behavior of certain combinatorial polynomials, including the Bell polynomials of even partitions.

On asymptotic properties of high moments of compound Poisson distribution

Abstract

We study asymptotic behavior of the moments of the sum , where follows the Poisson probability distribution with mean value and is a family of i.i.d. random variables also independent from . We obtain an explicit expression for the leading term of as and study it in dependence of the asymptotic behavior of . In application, we establish a concentration property of maximal vertex degree of large weighted random graphs. Another application is related with a variable that arises in the studies of high moments of large random matrices. Finally, regarding three particular cases of probability distribution of , we comment on the asymptotic behavior of certain combinatorial polynomials, including the Bell polynomials of even partitions.

Paper Structure

This paper contains 16 sections, 214 equations.