Extreme Value Theory Notes
A consolidated set of notes on the foundations of extreme value theory, including block maxima, peaks over threshold, tail index interpretation, and high-quantile extrapolation.
Notes 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 the statistical modelling of rare and extreme events. The emphasis is on tail limits, threshold exceedance theory, generalized extreme value distributions, generalized Pareto models, and extreme quantile estimation.
A consolidated set of notes on the foundations of extreme value theory, including block maxima, peaks over threshold, tail index interpretation, and high-quantile extrapolation.
A conceptual introduction to why extremes require separate asymptotic modelling, with block maxima and threshold exceedance viewpoints.
A note on maxima of iid sequences, normalization, domains of attraction, and the generalized extreme value family.
A note on threshold exceedances, the Pickands--Balkema--de Haan theorem, and tail modelling with the generalized Pareto distribution.
A note on interpreting and estimating the extreme value index, including heavy-tailed, light-tailed, and bounded-tail regimes.
A note on estimating quantiles beyond the observed data range and why tail extrapolation requires explicit extreme-value assumptions.