A point process is a stochastic process in which the data are sets of points ordered in a mathematical space. A common example is the Poisson process, in which points are ordered in time with the interarrival times exponentially distributed.
A point process is a stochastic process in which the data are sets of points ordered in a mathematical space. A common example is points which are ordered in time. If the arrival of each point is independent of those that preceded it, and all points have the same arrival rate, the interarrival times will be exponentially distributed. Such a process is called a Poisson process. The distribution of the total number of points occurring within a given temporal interval will be Poisson.
