💡 Words with a Similar Meaning to "Diffusion process"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| stochastic differential equationnoun | (calculus) a type of differential equation in which one or more of the terms is a stochastic process resulting in a solution which is itself a stochastic process |
| differential equationnoun | (calculus) An equation involving the derivatives of a function. |
| stochastic processnoun | (mathematics, probability theory) A function that maps elements of an index set to elements of a collection of random variables; historically, a collection of random variables indexed by a set of numbers usually regarded as points in time. |
| stochastic drift | In probability theory, stochastic drift is the change of the average value of a stochastic (random) process. |
| probability distributionnoun | (statistics) A distribution of all possible values of a random variable together with an indication of their probabilities. |
| branching processnoun | (mathematics, probability theory) A stochastic process which typically models reproduction of objects, with the assumption that the reproductions of individual particles are mutually independent. |
| integro-differential equation | In mathematics, an integro-differential equation is an equation that involves both integrals and derivatives of a function. |
| discrete poisson equation | In mathematics, the discrete Poisson equation is the finite difference analog of the Poisson equation. |
| stochastic calculusnoun | (mathematics) A branch of mathematics that operates on stochastic processes. |
| empirical process | In probability theory, an empirical process is a stochastic process that characterizes the deviation of the empirical distribution function from its expectation. |
| probability mass functionnoun | (mathematics) A function that gives the relative probability that a discrete random variable is exactly equal to some value. |
| differential operatornoun | (mathematics, mathematical analysis) An operator defined as a function of the differentiation operator (the operator which maps functions to their derivatives). |
| milstein method | In mathematics, the Milstein method is a technique for the approximate numerical solution of a stochastic differential equation. |
| markov decision process | Markov decision process, also called a stochastic dynamic program or stochastic control problem, is a model for sequential decision making when outcomes are uncertain. |
| markov modelnoun | A stochastic model for randomly changing systems, where it is assumed that future states depend only on the current state and not those that preceded it. |
| balance equation | In probability theory, a balance equation is an equation that describes the probability flux associated with a Markov chain in and out of states or set of states. |
| distributionnoun | An act of distributing or state of being distributed. |
| stationary ergodic process | In probability theory, a stationary ergodic process is a stochastic process which exhibits both stationarity and ergodicity. |
| stochastic volatility | In statistics, stochastic volatility models are those in which the variance of a stochastic process is itself randomly distributed. |
| determinantal point process | In mathematics, a determinantal point process is a stochastic point process, the probability distribution of which is characterized as a determinant of some function. |
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