Beta distribution and associated Stirling numbers of the second kind
Jakub Gismatullin, Patrick Tardivel
TL;DR
The paper studies $S_r(p,m)$ and derives a probabilistic representation via the $p-rm$-th moment of a sum of i.i.d. Beta$(1,r)$ variables. This connects combinatorics with probability and recovers the classical case $r=1$ with the Irwin–Hall distribution and the generating function $\sum_{p\ge m} S_1(p,m)t^p/p!=(e^t-1)^m/m!$. The authors develop sharp bounds for $\mathcal{M}_r(k,m)$ in three regimes (large $m$, large $k$, large $r$) and show asymptotics such as $S_r(p,m)\sim m^{p}/m!$ as $p\to\infty$ with $m,r$ fixed. Numerical experiments compare the new bounds to classical bounds for the Bell numbers and Stirling numbers, demonstrating tighter estimates in key parameter ranges.
Abstract
This article gives a formula for associated Stirling numbers of the second kind based on the moment of a sum of independent random variables having a beta distribution. From this formula we deduce, using probabilistic approaches, lower and upper bounds for these numbers.
