Extreme Value Theory: Maximum Distribution

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Extreme Value Theory: GEV and GPD

Covers Extreme Value Theory, focusing on GEV and GPD distributions and the POT Model for threshold exceedances.

Precipitation and Hydrologic Design

Covers methods to define the design storm, empirical distribution of rainfall maxima, Gumbel distribution, and intensity-duration-frequency relationships.

Quantitative Risk Management: Copulas and Generative Adversarial Networks

Explores copulas, simulation algorithms, fitting data with rank correlations, and GANs for image generation.

Extreme Value Theory: Limiting Distributions and Applications

Covers Extreme Value Theory, GEV distributions, GPD, and threshold exceedances.

Stability Relationships in Distributions

Explores stability relationships, domains of attraction, and limitations in distributions for statistical modeling and analysis.

L-Moment Estimation: Probability-Weighted Moments

Covers L-moment estimation, probability-weighted moments, and maximum likelihood inference basics.

Extreme Value Theory: Maxima and Exceedances

Delves into Extreme Value Theory, discussing maxima, exceedances, and their statistical implications.

Extreme-Value Theorems

Explores Extremal Types and Exceedance Theorems, GEV, GPD, stability, and limitations in extreme value modeling.

Estimating GEV Parameters

Explores techniques for estimating GEV parameters using graphical and likelihood-based methods, illustrated with real-world examples.

Extreme Value Estimation

Covers the estimation of extreme values using GEV distributions in the context of Old Age and Paris 2021 Talk.