NETS 7380 — Statistical Methods for Network Science
4 semester hoursGraduateLecture
Introduces statistical foundations for the analysis and inference of network data. Covers core principles of probability, sampling, statistical testing, regression, and causal inference. Focuses on the challenges posed by dependence, partial observation, and complex structure in networks. Emphasizes network measurement, data collection and sampling strategies, missing data, and statistical modeling of network processes. Presents a foundation for principled hypothesis testing and causal reasoning on networks and situates these methods within the broader landscape of advanced network models.