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https://elib.bsu.by/handle/123456789/339999| Title: | Local information geometry for high-order binary Markov chains and its applications |
| Authors: | Voloshko, V. A. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::МЕЖОТРАСЛЕВЫЕ ПРОБЛЕМЫ::Статистика |
| Issue Date: | 2025 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – Pp. 266-271. |
| Abstract: | We present some new results on asymptotic properties of statistics derived from purely random (uniformly distributed) binary sequence of length n → +∞. These results are obtained by methods of information geometry applied to manifolds of Markov probability distributions on the set of infinite binary sequences. In the talk we briefly describe underlying information-geometric theory and technics of proofs and show how finding probabilistic and statistical properties comes down to geometric and combinatorial computations |
| URI: | https://elib.bsu.by/handle/123456789/339999 |
| ISBN: | 978-985-881-830-2 |
| Licence: | info:eu-repo/semantics/restrictedAccess |
| Appears in Collections: | 2025. Computer Data Analysis and Modeling: Stochastics and Data Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 266-271.pdf | 448,43 kB | Adobe PDF | View/Open |
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