Noun:

ਸੰਭਾਵੀ ਫਾਰਮੂਲੇ ਦੁਆਰਾ ਪ੍ਰਕਿਰਿਆ ਕੀਤੀ ਗਈ,

stochastic process's Usage Examples:

In the theory of stochastic processes, a subdiscipline of probability theory, filtrations are totally ordered collections of subsets that are used to.

stochastic process) for which, at a particular time, the conditional expectation of the next value in the sequence is equal to the present value, regardless.

process is a stochastic process which exhibits both stationarity and ergodicity.

In mathematics and statistics, a stationary process (or a strict/strictly stationary process or strong/strongly stationary process) is a stochastic process.

distribution of the stationary stochastic process remains the same.

In mathematics, Itô"s lemma is an identity used in Itô calculus to find the differential of a time-dependent function of a stochastic process.

Olav Kallenberg is a probability theorist known for his work on exchangeable stochastic processes and for his graduate-level textbooks and monographs.

Consider a p-dimensional zero mean stationary stochastic process X ( t ) [ X ( 1 , t ) , X ( 2 , t ) , … , X ( p , t ) ] T.

mathematics – specifically, in the theory of stochastic processes – Doob"s martingale convergence theorems are a collection of results on the limits of supermartingales.

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

The definition of the normalized cross-correlation of a stochastic process is ρ X X ( t 1 , t 2 ) K X.

theorem, on stochastic processes In geometry: Parametric continuity, for parametrised curves Geometric continuity, a concept primarily applied to the conic.

A general assumption of GMM is that the data Yt be generated by a weakly stationary ergodic stochastic process.

Synonyms:

model, Markov process, stationary stochastic process, Markoff process, random walk, theoretical account, framework,

Antonyms:

follower, unworthy,