Point processes

Related lectures (32)

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

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

Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.

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

Covers the generation of Markov processes and Poisson processes in stochastic simulation.

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

Covers the properties of Poisson processes, including arrival times and stochastic models for communications.

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

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

Covers the theorems of superposition and colouring for Poisson processes.