Po

Po, or "Poisson distribution," is a statistical model used to describe the likelihood of a certain number of events happening within a fixed interval of time or space, when these events occur independently and at a constant average rate. For example, it can predict the number of emails received per hour or the number of cars passing through an intersection in a day. It helps in understanding and modeling random, rare events efficiently, especially when events are sparse and occur unpredictably but with a known average rate.