Bayesian Tools for the Information Frontier at the LHC

Learn about Bayesian tools and their applications at the Large Hadron Collider (LHC) in this comprehensive lecture from the Minicourse on Bayesian Machine Learning for Scientific Research. Explore advanced statistical methods and machine learning techniques used in particle physics research, with a focus on how Bayesian approaches help scientists extract meaningful information from complex LHC data. Gain insights from speaker Ezequiel Alvarez of ICAS-UNSAM, Argentina, as he delves into the intersection of Bayesian statistics and high-energy physics experiments. Master the theoretical foundations and practical applications of Bayesian tools that are essential for pushing the boundaries of particle physics research at the information frontier.