Statistics and machine learning for high-energy physics

Authors

  • Harrison B. Prosper

DOI:

https://doi.org/10.23730/CYRSP-2025-002.151

Abstract

These lectures introduce some of the main ideas of frequentist and Bayesian statistics as well as supervised machine learning with a focus on the probabilistic interpretation of the latter. The ideas are illustrated using simple examples from particle physics.

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Published

2025-03-10