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A Markov Chain offers a type of automation model that uses a stochastic process to determine or estimate the states of a system in a tractable manner.
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The researchers used a stochastic process called a Markov chain to capture the behavior of various types of clouds.
We model this using a stochastic process which captures the variability in participants' responses to the same treatment.
This study presents a method for accomplishing this by smoothly modulating the luminance of a visual stimulus using a stochastic process.
The impact of different cost related risk factors is modelled using a stochastic process and interdependence in a Bayesian Network format.
This uncertainty was addressed using a stochastic process, where the key cost and benefit values were transformed using a randomisation process (triangular distribution model), and then run under a Monte Carlo simulation model.
The software uses an empirical approach to allocate crops to fields (polygons in vector format) over a sequence of years, using a stochastic process (Markov chains) and rule-based constraints.
Each tool encompasses different strengths: the SVD finds the underlying basis of all of the emotional arcs, the clustering classifies the emotional arcs into distinct groups, and the SOM generates arcs from noise which are similar to those in our corpus using a stochastic process.
In this investigation we studied gene pair co-expression change by using a stochastic process model for approximating the underlying dynamic procedure of the co-expression change during cancer progression.
To estimate diversification rates, we used the method described by Magallón and Sanderson [ 42], which uses a stochastic, time-homogeneous birth and death process depending on diversification rate (r) and the relative extinction rate.
We use a stochastic renewal process for the plasma microfield being the cause of Stark broadening.
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CEO of Professional Science Editing for Scientists @ prosciediting.com