Poisson Process

A Poisson process is a way to model random events that occur independently and at a steady average rate over time or space. Think of it like counting how many cars pass a certain point each hour, where the exact count varies but the average rate is consistent. It assumes events happen randomly but with no memory, meaning the occurrence of one event doesn't affect the next. This model helps in fields like telecommunications, physics, and finance to analyze rare or random events efficiently.