Variance and information potential of some random variables

.blurhash-client-img { display: none !important; }

Open Access

|Mar 2024

We investigate random variables for which the variance and the information potential satisfy a preservation law.

References

A.M. Acu, G.Bascanbaz-Tunca, I. Ra¸sa, Information potential for some probability density functions, Applied Mathematics and Computation, 389 (2021), Article Number: 125578.
Search in Google Scholar Back to article
M. Dancs, A.-I. Mădut¸a, Entropies related to integral operators, General Mathematics Vol. 27, No. 2 (2019), 97–107.
Search in Google Scholar Back to article
J.C. Principe, Information Theoretic Learning. Renyi’s Entropy and Kernel Perspectives, Springer, New York, 2010.
Search in Google Scholar Back to article
Y. Sun, Z. Sun, Generating probability distributions on intervals and spheres: Convex decomposition, Comput. Math. Appl., 154(15) (2024), 12-23.
Search in Google Scholar Back to article

DOI: https://doi.org/10.2478/gm-2023-0013 | Journal eISSN: 1584-3289 | Journal ISSN: 1221-5023

Language: English

Page range: 80 - 84

Submitted on: Aug 2, 2023

Accepted on: Nov 22, 2023

Published on: Mar 7, 2024

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

Related subjects:

© 2024 Gabriela Motronea, Alin Pepenar, published by Lucian Blaga University of Sibiu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.