Probability/Statistics
Ects : 4
Enseignant responsable :
Volume horaire : 36Description du contenu de l'enseignement :
Chapter 1 : We mostly review the concepts covered in the stat I course (UE 07). Chapter 2 : Sampling.
- Sampling, sample mean, sample variance.
- Convergence in probability and in distribution
- Law of large numbers
- Central limit theorem
Chapter 3 : Estimation
- Parametric estimation
- Bias, variance and mean squared error
- Moment method estimation
- Maximum likelihood estimation
- Confidence intervals
Pré-requis recommandés :
It is an asset if you know the basics of Python ( first year course "informatique"). But the knowledge of Python is not mandatory for this statistics course. It is also an asset if you are comfortable with chapters 1 and 2 of the stat I handout on descriptive statistics (UE 07, "POLY-StatDesc-L1").
Pré-requis obligatoires :
- The Stat I handout on probabilities (UE 07, "Partie 1 : Probabilités").
- The course called "outils mathématiques" (UE 15).