Master 2024/2025

Principles of Applied Statistics

Type: Elective course (Math of Machine Learning)

When: 1 year, 2 module

Open to: students of one campus

Language: English

Course Syllabus

Abstract

Standard courses in mathematical statistics focus on classical statistical methods. However, in practice, modern statistical methods are often used, for example, bootstrap, nonparametric estimation, smoothing based on decomposition in orthogonal bases, methods for reducing dimensionality and sensitivity analysis, etc. Understanding the theory underlying these methods, as well as the ability to apply them in practice, is absolutely necessary for anyone working in mathematical statistics and data analysis.