Point Estimation Combining Measurements and Fitting - Lecture 2

Explore point estimation techniques for combining measurements and fitting in this comprehensive lecture by Tommaso Dorigo. Delve into advanced statistical methods crucial for high energy physics research as part of the "Statistical Methods and Machine Learning in High Energy Physics" program. Learn how to analyze and interpret large datasets from experiments like the Large Hadron Collider, and discover the application of machine learning techniques in the search for new physics. Gain insights into classification, identification, characterization, and estimation strategies used in cutting-edge particle physics research. Ideal for PhD students and postdoctoral researchers in theoretical or experimental particle physics and astro-particle physics, this lecture provides valuable knowledge for those working with simulated event generation, data analysis frameworks, and machine learning tools in the field of high energy physics.

Point Estimation Combining Measurements and Fitting (Lecture 2) by Tommaso Dorigo