Statistical Inference Practice

 

Starts on 26/09/2022

Ends on 12/12/2022

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

Host Institution
Université Côte d'Azur

Other short courses

21. 02. 2023 Go

Computer Vision

11. 05. 2022 Go

Geometric learning

05. 04. 2022 Go

Computer Graphics

04. 04. 2022 Go

Bayesian Learning

04. 04. 2022 Go