In probability theory and related fields, a stochastic (/stəˈkæstɪk/) or random process is a mathematical object usually defined as a family of random...

concept of a stochastic process is also referred to as a random process. Stochasticity is used in many different fields, including image processing, signal...

calculus to stochastic processes such as Brownian motion (see Wiener process). It has important applications in mathematical finance and stochastic differential...

manipulating statements according to certain rules. A key principle guiding this process is that whatever operation is applied to one side of an equation also needs...

statistics, a stationary process (or a strict/strictly stationary process or strong/strongly stationary process) is a stochastic process whose unconditional...

A stochastic differential equation (SDE) is a differential equation in which one or more of the terms is a stochastic process, resulting in a solution...

In probability theory, a continuous stochastic process is a type of stochastic process that may be said to be "continuous" as a function of its "time"...

In probability theory and statistics, a Gaussian process is a stochastic process (a collection of random variables indexed by time or space), such that...

image processing, and telecommunications. The Poisson point process is often defined on the real number line, where it can be considered a stochastic process...

statistics and the theory of stochastic processes. Two events are independent, statistically independent, or stochastically independent if, informally speaking...