Poisson Processes

A Poisson process is a mathematical model used to describe events that occur randomly over time or space. It helps understand situations like phone calls received at a call center or the number of cars passing through a toll booth. The key features of a Poisson process are that events happen independently of one another and at a constant average rate. This means that knowing when one event occurs gives no information about when the next will happen. It’s widely used in fields like telecommunications, traffic flow, and natural phenomena to predict and analyze occurrences efficiently.