Work

Concentration functions and entropy bounds for discrete log-concave distributions

Year: 2021

Type: article

Abstract: Two-sided bounds are explored for concentration functions and Rényi entropies in the class of discrete log-concave probability distributions. They are used to derive certain variants of the entropy power inequalities.

Source: Combinatorics Probability Computing

DOI: 10.1017/s096354832100016x

Authors: Sergey G. Bobkov, Arnaud Marsiglietti, James Melbourne

Institutions: University of Minnesota, University of Florida

Language: English

Topic: Probability and Statistical Research

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: National Science Foundation

Award: High-Dimensional Phenomena, Limit Theorems, and Applications

OpenAlex ID: W3045400294

FWCI: 2.416

Cites: 25

Cited by: 23

Related to: 10