Statistical Data Analysis

A practical course for particle physicists and astrophysicists

Course Materials (EN)

Interactive Applets

• All lecture applets
• Bertrand’s Paradox: online game

Lecture Slides

• Lecture 1. Motivation and course overview
• Lecture 2. Probability and Bayes’ theorem
• Lecture 3. Random variables and probability densities
• Lecture 4. Expectation values and error propagation
• Lecture 5. Common probability distributions
• Lecture 6. The Monte Carlo method
• Lecture 7. Statistical tests: general concepts
• Lecture 8. Test statistics and multivariate methods
• Lecture 9. Goodness-of-fit, p-values, significance, discovery and exclusion
• Lecture 10. Feldman-Cousins, CLs, and related methods
• Lecture 11. Parameter estimation and maximum likelihood
• Lecture 12. Method of least squares
• Lecture 13. Interval estimation and setting limits
• Lecture 14. Nuisance parameters and systematic uncertainties
• Lecture 15. Examples of Bayesian approach

Build

Render the full slides site:

quarto render en/slides

For OJS slides, open through HTTP (not file://):

quarto preview en/slides

or:

cd en/slides/_site
python3 -m http.server 8000