Lecture

Statistical Analysis of Network Data

In course

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Description

This lecture covers the basics of network data structures, including graphs, cycles, regular graphs, trees, and bipartite graphs. It also delves into network models such as Chung-Lu, Random Geometric Graphs, and Stochastic Block Models. The importance of permutation invariance and exchangeable sequences in network data analysis is discussed, along with Erdős-Rényi networks and degree distributions.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_xqy9rstc

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Algebra: Linear algebra

Computer engineering

Computer networks: Local area networks

Statistics

Statistical inference: Mathematical statistics

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