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Theory of Probability and Mathematical Statistics

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


Author: Ali Saeb
Journal: Theor. Probability and Math. Statist. 108 (2023), 169-183
MSC (2020): Primary 60F10
DOI: https://doi.org/10.1090/tpms/1191
Published electronically: May 2, 2023
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Abstract: De Haan and Resnick [Ann. Probab. 10 (1982), no. 2, 396–413] have shown that the Rényi entropy of order $\beta$ ($\beta >1$) of normalized sample maximum of independent and identically distributed (iid) random variables with continuous differentiable density converges to the Rényi entropy of order $\beta$ of a max stable law. In this paper, we review the rate of convergence for density function in extreme value theory. Finally, we study the rate of convergence for Rényi entropy in the case of normalized sample maxima.


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Additional Information

Ali Saeb
Affiliation: Department of Economic Sciences, Indian Institute of Science Education and Research, Bhopal 462 066, India
Email: ali.saeb@gmail.com

Keywords: Rate of convergence, Rényi entropy, densities convergence, max stable laws, max domain of attraction
Received by editor(s): May 4, 2022
Accepted for publication: October 4, 2022
Published electronically: May 2, 2023
Additional Notes: The first version of the paper was written while I was visiting the Institute for Mathematical Sciences, National University of Singapore. The visit was supported by the Institute.
Article copyright: © Copyright 2023 Taras Shevchenko National University of Kyiv