Cox process

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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 mapping theorems for Poisson processes and their intensity functions.

Covers the Poisson process in detail, focusing on the probability law and its applications.

Covers the application of extreme value theory to point processes and the estimation of extreme events from equally-spaced time series.

Covers the theorems of superposition and colouring for Poisson processes.

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

Covers the generation of Markov processes and Markov chains, including transition matrices and stochastic matrices.

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

Covers the properties of Poisson processes, including arrival rate and inter-arrival time.

Introduces continuous time Markov chains on a finite state space with exponential waiting times and jump probabilities.

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

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