Mapping and Colouring: Poisson Processes

Explains how q = rw defines a Poisson process and its intensity.

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

Covers the estimation of R in Poisson processes, focusing on marking points and convergence.

Covers the theory of Poisson processes and the estimation of the intensity parameter R.

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