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...

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

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

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

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...

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...

a point process operation or point process transformation is a type of mathematical operation performed on a random object known as a point process, which...

Point Processes is a book on the mathematics of point processes, randomly located sets of points on the real line or in other geometric spaces. It was...

involved. The process of simulated annealing is often used to reduce the "random walk" behavior in the early part of the sampling process (i.e. the tendency...

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...

probability distribution of the distance between events in a Poisson point process, i.e., a process in which events occur continuously and independently at a constant...

theorem in the theory of point processes, a sub-discipline of probability theory. It describes how a Poisson point process is altered under measurable...

The Poisson distribution arises as the number of points of a Poisson point process located in some finite region. More specifically, if D is some region...

theory, a Cox process, also known as a doubly stochastic Poisson process is a point process which is a generalization of a Poisson process where the intensity...

neural-spike trains. Neural spike train data can be modeled as a point-process. A temporal point process is a stochastic time-series of binary events that occurs...

defined in relation to mathematical objects known as point processes, which are types of stochastic processes often used as mathematical models of physical phenomena...

defined in relation to mathematical objects known as point processes, which are types of stochastic processes often used as mathematical models of physical phenomena...

statistics, diffusion processes are a class of continuous-time Markov process with almost surely continuous sample paths. Diffusion process is stochastic in...

stochastic process assigns a random variable Xt to each point t ≥ 0 in time. In effect it is a random function of t. The increments of such a process are the...

Point at infinity Point cloud Point process Point set registration Pointwise Singular point of a curve Whitehead point-free geometry Ohmer (1969), p. 34–37...

stochastic processes that by definition possess independent increments are the Wiener process, all Lévy processes, all additive process and the Poisson point process...

mobile processors (codenamed "Strix Point"). Zen 5 was first officially mentioned during AMD's Ryzen Processors: One Year Later presentation on April...

probability theory and statistics, a Hawkes process, named after Alan G. Hawkes, is a kind of self-exciting point process. It has arrivals at times 0 < t 1 <...

mixed binomial process is a special point process in probability theory. They naturally arise from restrictions of (mixed) Poisson processes bounded intervals...

theory of probability, a generalized renewal process (GRP) or G-renewal process is a stochastic point process used to model failure/repair behavior of repairable...

statistics, econometrics, and signal processing, an autoregressive (AR) model is a representation of a type of random process; as such, it can be used to describe...

xiphoid process (/ˈzɪfɔɪd/), also referred to as the ensiform process, xiphisternum, or metasternum, constitutes a small cartilaginous process (extension)...