Imagine a bowl of candies. Now imagine you want to measure how many red candies are in the bowl. You decide to randomly grab candies from the bowl one by one and count how many red ones you get.
Poisson Random Measure works in a similar way, but instead of a bowl of candies, we have a set of events happening randomly at a certain rate. For example, we might be measuring how many cars pass by a certain spot on a highway in a given time period.
Poisson Random Measure is a way of calculating the probability of certain outcomes when events are happening randomly over time or space. It uses a mathematical formula called the Poisson distribution to determine how likely it is that a certain number of events will occur in a given time period (or space).
Think of it like throwing darts at a target. If you throw a lot of darts, you might hit more of the targets, but there's still some randomness to it. Poisson Random Measure helps us understand that randomness and calculate the likelihood of different outcomes.
So, to summarize, Poisson Random Measure is a way of calculating the probability of certain outcomes when events are happening randomly over time or space. It uses a mathematical formula called the Poisson distribution to determine how likely it is that a certain number of events will occur. It's kind of like counting candies in a bowl or throwing darts at a target.