English

A note on the maximum probability of ultra log-concave distributions

Probability 2025-03-03 v1

Abstract

Jakimiuk et al. (2024) have proved that, if XX is an ultra log-concave random variable with integral mean, then maxnP{X=n}maxnP{Z=n},\max_n \mathbb{P}\{X=n\} \geq \max_n \mathbb{P} \{Z=n\}\,, where ZZ is a Poisson random variable with the parameter E[X]\mathbb{E}[X]. In this note, we show that this inequality does not always hold true when XX is ultra log-concave with E[X]>1\mathbb{E}[X]>1.

Keywords

Cite

@article{arxiv.2502.20486,
  title  = {A note on the maximum probability of ultra log-concave distributions},
  author = {Heshan Aravinda},
  journal= {arXiv preprint arXiv:2502.20486},
  year   = {2025}
}

Comments

7 pages; to appear in Statistics & Probability Letters

R2 v1 2026-06-28T22:00:48.609Z