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Lecture
Heavy-Tailed Distributions
Description
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.
Official source
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