Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/340003| Title: | Statistical problems at computing online controlled experiments at scale |
| Authors: | Zasko, G. V. Kharlamov, V. V. Filev, R. K. |
| 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. 281-284. |
| Abstract: | Online controlled experiments, or A/B tests, are a reliable tool for data-driven decision making in industrial applications. We discuss several applied statistical problems related to the A/B testing at scale. The list of problems includes detecting inherent biases in samples, reducing metric variance to accelerate A/B tests, and improving statistical power by multivariate hypothesis testing. For each problem, we propose a practical solution and show the results in numerical experiments |
| URI: | https://elib.bsu.by/handle/123456789/340003 |
| 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 | |
|---|---|---|---|---|
| 281-284.pdf | 302,44 kB | Adobe PDF | View/Open |
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