Examples of 'stochastic process' in a sentence
Meaning of "stochastic process"
stochastic process - a mathematical term that refers to a random or probabilistic sequence of events or operations. It describes an unpredictable or randomly evolving system in which future outcomes depend on previous states, but also involve an element of chance
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- 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.
How to use "stochastic process" in a sentence
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stochastic process
I study stochastic process and their applications.
The seed for the stochastic process.
A stochastic process is a random process evolving with time.
The distribution of industrial accidents as a stochastic process.
A stochastic process is a sequence of events or paths generated by probabilistic laws.
A random sequence obtained from a stochastic process.
A stochastic process is a random variable that also depends on time.
These techniques often rely on a stochastic process.
Jump diffusion is a stochastic process that involves jumps and diffusion.
Gene expression modelled as stochastic process.
Stochastic process algebra.
The entropy rate of a stochastic process.
Stochastic process algebras.
The concept of a stochastic process.
Stochastic process models are used extensively in operations research applications.
See also
A random tree is a tree or arborescence that is formed by a stochastic process.
The random variables of a stochastic process are indexed by the natural numbers.
The result of the integration is then another stochastic process.
The contact process is a stochastic process that is closely connected to percolation theory.
Recursive trees can be generated using a simple stochastic process.
One popular stochastic process allowing to sample this measure is theLangevin dynamics.
Let be a discontinuous stochastic process.
Stochastic process 随机过程.
Vegetation change as a stochastic process.
This stochastic process of observed colors does not have the Markov property.
It is implicit here that the index of the stochastic process is a continuous variable.
The two conditions required by the theorem are trivially satisfied by any stochastic process.
Tree survival or mortality is a stochastic process and highly variable over time and space.
The dynamic of complex system has been modelling by the theory of stochastic process.
Use of OLS relies on the stochastic process being stationary.
In the preferred embodiment the second stage operates according to a stochastic process.
VAR is a type of stochastic process model.
The sequence in which each of the phases occur may itself be a stochastic process.
Markov process is a stochastic process that satisfies the Markov property of memorylessness.
A new procedure was applied in the study of random searches using a stochastic process formulation.
A Markov chain is a stochastic process in a way that the Markov property is satisfied.
The preference evolution process is mathematically represented as a stochastic process called a diffusion process.
Any stochastic process X is an adapted process with respect to its natural filtration.
Researchers know how to calculate the amount of information transferred inherently in any stochastic process.
It is assumed that FTE is an ergodic stochastic process within a given flight control mode.
The general organization of the discrete fracture network emerges from this stationary and stochastic process.
Contagious distribution A probability distribution describing a stochastic process consisting of a combination of two or more processes.
Conversely, any stochastic process that is both a submartingale and a supermartingale is a martingale.
A Markov chain is a special type of stochastic process.
A Markov chain is a stochastic process with the Markov property.
DNA damage during aging appears to be a stochastic process.
The Brownian web is a stochastic process constructed from Brownian.
This model is an Ornstein-Uhlenbeck stochastic process.
A Markov process is any stochastic process that satisfies the Markov property.
This is also known as a non-ergodic stochastic process.
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Examples of using Stochastic
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Unobserved heterogeneity in stochastic cost frontier models
Stochastic architectures are more favorable at micro scales
An example of a doubly stochastic model is the following
Examples of using Process
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The globalization process is intensifying these pressures
Process by which this report has been prepared
Its implementation process includes the following
