Poisson point process

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Explores extremal limit theorems, statistical analysis, and asymptotic independence models for rare events.

Covers stochastic models for communications, including Poisson processes and counting processes.

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

Explores Gaussian processes, covariance functions, intrinsic stationarity, and extreme applications in statistics.

Covers the Poisson process and its probability law in communication systems.

Covers the statistical analysis of multivariate extremes, including extremal limit theorems and models for extremes of time series.

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

Explores Poisson processes, joint density, independence of events, and likelihood estimation.

Explores Poisson processes, Pickands' function, and multivariate angular densities.

Explores extremal limit theorems, return level estimation, clustering consequences, and modelling strategies for extreme value theory.