Heavy-Tailed Distributions

This lecture covers the analysis of heavy-tailed distributions, focusing on fitting power-law tails, testing heavy tails quantitatively, and using the Hill estimator. It also discusses the convergence of Student-t distributions to Gaussian, the central limit theorem for distribution centers, and comparing different distributions using Vuong's closeness test.