The phrase "a combination of stochastic" is correct and usable in written English.
It can be used when discussing elements or factors that involve randomness or probabilistic processes, often in fields like statistics, finance, or machine learning.
Example: "The model is based on a combination of stochastic processes and deterministic factors to predict future trends."
Alternatives: "a blend of stochastic" or "an amalgamation of stochastic".
Many biological systems exhibit a combination of stochastic (chance, random, noisy) and deterministic dynamics [1 3].
A combination of stochastic, deterministic and empirical parameters guides the transition from one state to another within a selected time period [18].
By defining critical routes in PERT networks, a combination of stochastic and mathematical models calculates the delivery time uncertainty in supply networks.
They used a combination of stochastic reservoir description techniques and streamline simulation to optimize volumetric sweep efficiency in a mature West Texas waterflood and used an IMPES, finite-difference scheme to validate the results obtained.
The complex dynamic of dengue in Cambodia in the last ten years has been associated with a combination of stochastic climatic events, cocirculation, coevolution, adaptation to different vector populations, and with the human population immunological landscape.
Using a combination of stochastic and empirical data, we identified impacts to playas and playa watersheds and quantified the extent and rate of these impacts relative to physical loss.
The uncertainty is addressed through a combination of a stochastic optimization model and additional reserve requirements.
Memory components are modified in order to directly minimize the reconstruction error and to indirectly minimize the entropy of the spike rate distribution, via a combination of a stochastic gradient search and a novel tuning method.
By using a combination of the stochastic analysis and Lyapunov functional approaches, sufficient conditions are derived for the existence of the desired controllers and then the characterization of such controllers is given via the semi-definite programme method.
A combination of a stochastic downscaling methodology and distributed hydrological modeling was used in the ACQWA project to provide projections of future streamflow (up to year 2050) for the upper Po and Rhone basins, respectively located in northern Italy and south-western Switzerland.
In [22], the (H_{infty}) output-feedback control problem for a class of discrete-time systems with channel fadings and sector nonlinearities has been studied, and the existence of the desired controllers has been derived via using a combination of the stochastic analysis and Lyapunov function approach.
