## Poisson processes #

A Poisson process is a way to model series of events which happen at random intervals with a known mean. Precisely, a discrete process \(\{N(t)\mid t\in\mathbb{N}\}\) indexed by time is *Poisson* with parameter \(\lambda\) if the number of events in any interval of length \(\tau\) is distributed \(Poisson(\lambda\tau)\).

### Links and resources #

- Paper on forecasting time series of inhomogeneous Poisson processes. Applications to call centre workforce management.