Exploring hierarchical forecasting of data popularity in high-energy physics experiments

DOI10.1134/S1995080223080206MaRDI QIDQ6180806

N. N. Popova, M. V. Shubin, M. A. Grigorieva, D. A. Vartanov

Publication date: 22 January 2024

Published in: Lobachevskii Journal of Mathematics (Search for Journal in Brave)

zbMATH Keywords

distributed computingmachine learninghigh-energy physicsdata popularity

Mathematics Subject Classification ID

Linear inference, regression (62Jxx) Statistics (62-XX) Inference from stochastic processes (62Mxx)

Cites Work

• Unnamed Item
• Logistic regression. A self-learning text. With contributions by Erica Rihl Pryor.
• Empirical Inference
• Forecasting at Scale
• Random forests

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