All the information you need for the 2023-2024 course is summarized here: https://sites.google.com/view/ed560-2023-24-statistics/
These lectures will provide an introduction to the basic topics of probability and statistics for data analysis:
- The concept of probability and the most common probability laws (binomial, Poisson, exponential, Gaussian…)
- Parameter estimation: the method of moments, the Maximum Likelihood method, the chi-square estimator
- Confidence intervals
- Test of hypotheses: simple hypotheses, goodness of fit
- The Bayes rule, the Bayesian approach to parameter estimation, and Monte-Carlo Markov chains
Several practical examples will be presented and hands-on tutorial sessions will be proposed.
Recommended books / Lectures recommandées : R. Barlow, Statistics: A Guide to the Use of Statistical Methods in the Physical Sciences, Wiley - for beginners / niveau débutant F. James, Statistical Methods in Experimental Physics, 2nd ed., World Scientific - classic book / classique L. Lista, Statistical Methods for Data Analysis in Particle Physics, Springer - modern,concise yet complete/moderne, synthétique pourtant exhaustif Prerequisites / conditions préalables : (Multivariable) Calculus / Calcul infinitésimal (Analyse vectorielle)
Informations: TRAINING CODE = SPU-STE-5
- Marco Bomben (Enseignant-chercheur, Université Paris Cité)
- Dates: 10-14 juin juin 2024, 5 mornings (9h30-12h30) and 5 afternoons (14h-17h)
- Location : salle 302A Condorcet, APC Laboratory
- Langue : English
- Validation : 4 points