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Lecturer
Vincent Vandewalle,
Kevin Mottin,
Content and organization
In this course we will develop statistical inference from the practical point of view. We will first make a brief introduction on point estimation and confidence sets. Then we will focus on non-parametric inference (empirical pdf, plug-in estimators). In a third section we will introduce bootstrapping which permits to get confidence intervals by resampling in the data. In a fourth section we will study method of moments and maximum likelihood inference from a practical point of view. In a firth section we will work on multiple regression from a practical point of view.
Course 1 : Introduction to statistical inference and learning
Course 2 : Empirical study of some estimators by computation and simulations
Course 3 : Non-parametric inference
Course 4 : Exercises on non-parametric inference
Course 5 : Bootstrap
Course 6 : Exercises on bootsrap
Course 7 : Method of moments and maximum likelihood
Course 8 : Exercises of method of moments and maximum likelihood
Course 9 : Multiple linear regression
Course 10 : Exercises on multiple linear regression
Level
Post-graduate
Course Duration
30 h
Course Type
Semester Course
Schedule
Monday from 9h to 12h
Language
English
Modality (online/in person):
online
