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Related lectures (32)

Poisson Process Approach Log in to Mediaspace to watch this video

Explores the Poisson process approach in extreme value analysis, emphasizing component-wise transformations and likelihood functions for extreme events.

Signal Models and Methods: Parametric vs Nonparametric Log in to Mediaspace to watch this video

Provides an overview of signal models and methods in statistical signal processing.

Multivariate Extremes: Applications and Dependence Log in to Mediaspace to watch this video

Explores multivariate extremes, including overwhelming sea defenses and heat waves.

Parametric Models: Logistic and Dirichlet Densities Log in to Mediaspace to watch this video

Explores logistic and Dirichlet densities, parametric models, and asymmetric alternatives.

Linear Estimation & Prediction: Models & Methods Log in to Mediaspace to watch this video

Explores linear estimation and prediction in AR parametric models, focusing on Yule Walker equations and Wiener filter.

Copulas and Extremes Log in to Mediaspace to watch this video

Explores copulas, margins, extremes, and parametric models for higher dimensions and bivariate data.

Linear Independence: Covariance and Statistical Dependence Log in to Mediaspace to watch this video

Explores covariance, statistical dependence, education-fertility relationship, hypothesis testing, and comparison statistics for continuous outcomes.

Important Sampling: Monte Carlo Estimation Log in to Mediaspace to watch this video

Covers important sampling for efficient Monte Carlo estimation of expected values using a new distribution to reduce variance.

Probability Distributions in Environmental Studies Log in to Mediaspace to watch this video

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Extreme Region Likelihood Estimation Log in to Mediaspace to watch this video

Covers extreme region likelihood estimation, model complexity, oceanographic data modeling, and threshold likelihood estimation.

Surface Integrals: Implicit Surfaces Log in to Mediaspace to watch this video

Covers implicit surfaces, parametric descriptions, regular parametrization, normal vectors, and orientable surfaces.

Block Models: Continued Analysis Log in to Mediaspace to watch this video

Explores the stochastic blockmodel, spectral clustering, and non-parametric understanding of blockmodels, emphasizing metrics for comparing graph models.

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