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Explore advanced statistical concepts in this lecture from the "Statistical Methods and Machine Learning in High Energy Physics" program. Delve into the topic of normalization error through Case 2, presented by Tommaso Dorigo. Gain valuable insights into statistical methods for data analysis, particularly relevant to high energy physics research. Learn how to handle normalization errors in complex datasets, a crucial skill for analyzing the massive amounts of data generated by experiments like the Large Hadron Collider. Enhance your understanding of statistical techniques essential for uncovering potential new physics at higher energy scales. Benefit from this comprehensive lecture, designed for PhD students, postdoctoral researchers, and professionals working in theoretical or experimental particle physics and astro-particle physics.
