Lecture

Latent Space and RDPG: Statistical Analysis of Network Data

In course

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Description

This lecture covers latent space models, including the assumption of conditional independence, parameterization using logistic regression, and the latent eigenmodel. It also discusses random dot product graphs (RDPG) and real-world networks, focusing on noisy networks and network sampling methods.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_x2ajzwl7

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Discrete mathematics: Graph theory

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

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