Mapping and Colouring: Poisson Processes

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Explores mapping theorems for Poisson processes and their intensity functions.

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

Explores theory and applications of multivariate extremes, emphasizing fitting marginal and dependence models together for accurate estimation.

Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.

Explores point processes in spatial analysis, focusing on spatial object dissemination and pattern detection.

Explores point processes in extreme value theory, focusing on modeling exceedances and the theory behind point patterns.

Discusses important theorems related to Poisson processes and their applications in analyzing exceedances and likelihood.

Covers the properties of Poisson processes and their applications in communication stochastic models.

Covers the Poisson process, a stochastic model for communications, focusing on the probability law.

Explores statistical applications of threshold exceedances and GPD modeling in extreme value theory.