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Bibliographic Details
Main Author: Aravinda, Heshan
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2502.20486
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Table of Contents:
  • Jakimiuk et al. (2024) have proved that, if $X$ is an ultra log-concave random variable with integral mean, then $$\max_n \mathbb{P}\{X=n\} \geq \max_n \mathbb{P} \{Z=n\}\,,$$ where $Z$ is a Poisson random variable with the parameter $\mathbb{E}[X]$. In this note, we show that this inequality does not always hold true when $X$ is ultra log-concave with $\mathbb{E}[X]>1$.