Statistical Analysis of Extremes: Risk Measures & Inference

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Related lectures (31)

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Normal Distribution: Properties and Calculations

Covers the normal distribution, including its properties and calculations.

Estimating GEV Parameters

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

Statistical Analysis: Data Exploration and Inference

Covers statistical analysis, emphasizing data exploration and inference to quantify uncertainty and draw conclusions.

Density of States and Bayesian Inference in Computational Mathematics

Explores computing density of states and Bayesian inference using importance sampling, showcasing lower variance and parallelizability of the proposed method.

Hypothesis Testing: Q-Q Plots and Non-Parametric Tests

Covers hypothesis testing, Q-Q plots, and non-parametric tests in statistics.

Statistical Inference: Linear Models

Explores statistical inference for linear models, covering model fitting, parameter estimation, and variance decomposition.

Estimation Methods in Probability and Statistics

Discusses estimation methods in probability and statistics, focusing on maximum likelihood estimation and confidence intervals.

Decision Theory: Risk and Hypothesis Testing

Covers decision theory, risk functions, and hypothesis testing in statistical inference.

Confidence Intervals: Definition and Estimation

Explains confidence intervals, parameter estimation methods, and the central limit theorem in statistical inference.

Risk Analysis in Project Management

Explores risk analysis in project management, focusing on measuring, managing, and minimizing risks to achieve project success.