Learning

Statistical Methods in Hydrology

Probability and Statistics Foundations → Case Studies and Applications

A comprehensive graduate-level learning path covering the statistical and probabilistic foundations and advanced methods used in hydrology, including frequency analysis, extreme value theory, copulas, stochastic processes, Bayesian methods, and uncertainty quantification. The path builds from core probability and statistics through hydrological applications to advanced modeling techniques.