Poisson Process Theory: Properties and Applications

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

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

Covers the basics of digital education, including online platforms, simulations, teamwork, and virtual reality.

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

Covers the estimation of max-stable processes using Poisson models and explores exponent functions and extremal coefficients.

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

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

Covers online education platforms, simulations, teamwork support, and more in digital education.

Compares diffusive noise and escape noise models in computational neuroscience, discussing simulation, calculation, and model fitting.

Explores extremal limit theorems and statistical analysis for analyzing extreme events like Venezuela rainfall and Venice data.