Explore: Point Process

In statistics and probability theory, a point process or point field is a set of a random number of mathematical points randomly located on a mathematical

related fields, a Poisson point process (also known as: Poisson random measure, Poisson random point field and Poisson point field) is a type of mathematical

In mathematics, a determinantal point process is a stochastic point process, the probability distribution of which is characterized as a determinant of

statistics, point process notation comprises the range of mathematical notation used to symbolically represent random objects known as point processes, which

Sometimes the term point process is not preferred, as historically the word process denoted an evolution of some system in time, so a point process is also called

A floating-point unit (FPU), numeric processing unit (NPU), colloquially math coprocessor, is a part of a computer system specially designed to carry out

system in a given state Lévy process, a stochastic process with independent, stationary increments Poisson process, a point process consisting of randomly located

A simple point process is a special type of point process in probability theory. In simple point processes, every point is assigned the weight one. Let

expectation of a function summed over a point process to an integral involving the mean measure of the point process, which allows for the calculation of

point in the point process as being the probability distribution of the distance from this point to its nearest neighboring point in the same point process