Extreme Value Theory: Applications and Threshold Selection

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Explores statistical tests like the Wald test and p-values, emphasizing their calculation and interpretation.

Covers the systematic derivation of a synchronization algorithm with a generalized likelihood test in wireless receivers.

Covers iterative weighted least squares, Poisson regression, mixed models, and likelihood ratio statistic.

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

Focuses on testing non-nested hypotheses in choice models using the likelihood ratio test and the Cox test.

Covers jacamar data analysis, smoking data models, and challenges with log-linear models in visual impairment data.

Covers the stochastic simulations course, G/G/1 queueing model, computational finance, statistics, physics, and Bayesian inference.

Covers the comparison of restricted and unrestricted choice models using the likelihood ratio test and the Cox test.

Explores exponential families, Bernoulli distributions, parameter estimation, and maximum entropy distributions in statistical modeling.

Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.

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

Explores maximum likelihood inference, comparing models based on likelihood ratios and demonstrating with a coin example.

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