Introduction to Extreme Value Theory
A conceptual introduction to why extremes require separate asymptotic modelling, with block maxima and threshold exceedance viewpoints.
Download PDFNotes on rare-event modelling, block maxima, threshold exceedances, generalized extreme value limits, generalized Pareto models, tail index estimation, and extreme quantile inference.
Extreme Value Theory
This section collects notes on statistical modelling of rare and extreme events. The focus is on the mathematical structure of tail limits and their use in risk, reliability, environmental extremes, and machine-learning-adjacent tail estimation.
A conceptual introduction to why extremes require separate asymptotic modelling, with block maxima and threshold exceedance viewpoints.
Download PDFA note on maxima of iid sequences, normalization, domains of attraction, and the generalized extreme value family.
Coming soonA note on threshold exceedances, the Pickands-Balkema-de Haan theorem, and tail modelling with the generalized Pareto distribution.
Coming soonA note on estimating quantiles beyond the range of ordinary data and why extrapolation requires tail assumptions.
Coming soon