Convexity and robustness of the Rényi entropy

Buryak, Filipp; Mishura, Yuliya

doi:10.15559/21-VMSTA185

A comment on rates of convergence for density function in extreme value theory and Rényi entropy

Ali Saeb

https://doi.org/10.1090/tpms/1191

Journal Theory of Probability and Mathematical Statistics Volume 108 (2023), p. 169

An information theoretic limit to data amplification

S J Watts, L Crow

https://doi.org/10.1088/2632-2153/add78d

Journal Machine Learning: Science and Technology Volume 6, Issue 2 (2025), p. 025046

Asymptotic Rényi entropies of random walks on groups

Kimberly Golubeva, Minghao Pan, Omer Tamuz

https://doi.org/10.1214/24-EJP1163

Journal Electronic Journal of Probability Volume 29, Issue none (2024), p. 1

Cumulative information generating function and generalized Gini functions

Marco Capaldo, Antonio Di Crescenzo, Alessandra Meoli

https://doi.org/10.1007/s00184-023-00931-3

Journal Metrika Volume 87, Issue 7 (2024), p. 775

Entropies of the Poisson Distribution as Functions of Intensity: “Normal” and “Anomalous” Behavior

Dmitri Finkelshtein, Anatoliy Malyarenko, Yuliya Mishura, Kostiantyn Ralchenko

https://doi.org/10.1007/s11009-025-10171-9

Journal Methodology and Computing in Applied Probability Volume 27, Issue 2 (2025)

Measuring dynamical phase transitions in time series

Bulcsú Sándor, András Rusu, Károly Dénes, Mária Ercsey-Ravasz, Zsolt I. Lázár

https://doi.org/10.1103/98vk-ws9s

Journal Physical Review Research Volume 7, Issue 3 (2025)

Properties of Various Entropies of Gaussian Distribution and Comparison of Entropies of Fractional Processes

Anatoliy Malyarenko, Yuliya Mishura, Kostiantyn Ralchenko, Yevheniia Anastasiia Rudyk

https://doi.org/10.3390/axioms12111026

Journal Axioms Volume 12, Issue 11 (2023), p. 1026

Properties of the Shannon, Rényi and other entropies: dependence in parameters, robustness in distributions and extremes

Iryna Bodnarchuk, Yuliya Mishura, Kostiantyn Ralchenko

https://doi.org/10.1007/978-3-032-21365-5_1

Book Springer Proceedings in Mathematics & Statistics (Mathematical Structures I—Stochastic and Analytic Structures with Applications) Volume 532 (2026), p. 1

Quantifying predictive knowledge: Wavelet energy α-divergence measure for time series uncertainty reduction

Loretta Mastroeni, Alessandro Mazzoccoli

https://doi.org/10.1016/j.chaos.2024.115488

Journal Chaos, Solitons & Fractals Volume 188 (2024), p. 115488

Export citation

Copy and paste formatted citation

Download citation in file

Authors