Latent Space and RDPG: Statistical Analysis of Network Data

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.