Probability
- Enseignant(s)
- Matthieu MARBAC-LOURDELLE
- Course type
- STATISTICS
- Correspondant
- Adrien SAUMARD
- Unit
-
Module 1-06-M-E-S: Inferential Statistics
- Number of ECTS
- 1
- Course code
- 1ASTA08-ES
- Distribution of courses
-
Heures de cours : 10.5
Heures de TP : 12
- Language of teaching
- French
- Modalités d'évaluation
- examen écrit de 2h avec documents de cours autorisés
Objectifs
Master the notion of conditional expectation, for intensive use in second-year regression and econometrics courses,
Use the different modes of convergence of a series of random variables without difficulty, a prerequisite for any statistics course with a mathematical aspect.
Plan
Conditional expectation: expectation conditional on an event, expectation conditional on a random variable. Construction of conditional expectation by orthogonal projection, general definition.
Stochastic convergence: convergence in law, convergence in probability, convergence in Lp, almost certain convergence. Relationships between these convergences. Law of large numbers, central limit theorem, asymptotic confidence interval.
Prérequis
Probability and integration courses for the 1st semester of the first year at school