Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/339960| Title: | Statistical classification of discrete data by the SCDD Python library |
| Authors: | Kharin, Yu. S. Voloshko, V. A. Prokhorchik, N. 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. 115-118. |
| Abstract: | We present a new Python package SCDD (for “Statistical Classification of Discrete Data”) being developed in Research Institute for Applied Problems of Mathematics and Informatics of Belarusian State University. This package supports three types of discrete data: multivariate data, time series and random fields. For these types of discrete data the new developed by authors and known in the literature Markov models are implemented for statistical parameter estimation and data classification |
| URI: | https://elib.bsu.by/handle/123456789/339960 |
| 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 | |
|---|---|---|---|---|
| 115-118.pdf | 267,83 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.