Lecture

Multivariate Statistics: Introduction and Methods

Description

This lecture introduces multivariate statistics, focusing on the analysis of data in vector form to uncover associations between components. Topics include multivariate distributions, hypothesis testing, graphical models, and covariance matrices. The course emphasizes applications to quantitative risk management.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_xgkekv5r

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Mathematics

Algebra: Linear algebra

Probability theory: Topics in probability theory

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