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This lecture covers the importance of threshold selection in extreme value analysis, focusing on fitting extreme value distributions, estimating parameters, and performing sensitivity analysis. The instructor discusses the impact of different thresholds on model performance and the implications of implicit stopping rules. Examples include rainfall and sea level data analysis.
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