Covers methods to define the design storm, empirical distribution of rainfall maxima, Gumbel distribution, and intensity-duration-frequency relationships.
Explores techniques for estimating GEV parameters using graphical and likelihood-based methods, illustrated with real-world examples.
Explores generalization error in machine learning, focusing on data distribution and hypothesis impact.
Explores the Carpan collector problem, analyzing expected completion times and waiting times for collecting different objects uniformly at random.
