Explore: Point Processes

stochastic processes such as renewal and counting processes are studied in the theory of point processes. Sometimes the term "point process" is not preferred

repeated operations on point processes can, under certain conditions, result in the process converging to a Poisson point processes, provided a suitable

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

material on standard processes: Poisson point processes, renewal processes, self-exciting processes, and doubly stochastic processes. The second chapter

motion process and the Poisson process. Some families of stochastic processes such as point processes or renewal processes have long and complex histories

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

the point x {\displaystyle x} . Simple point processes include many important classes of point processes such as Poisson processes, Cox processes and

telecommunications. Point processes are mathematical objects that are defined on some underlying mathematical space. Since these processes are often used to

homogeneous Poisson point processes, which is an example of a stationary stochastic process. Campbell's theorem for general point processes gives a method