The phrase "a subset of parameters" is correct and usable in written English.
It can be used when discussing a specific group or selection of parameters within a larger set, often in technical or analytical contexts.
Example: "In our analysis, we focused on a subset of parameters that significantly impact the overall results."
Alternatives: "a selection of parameters" or "a portion of parameters".
A subset of parameters for calibration is selected based on the variance-based Sobol' sensitivity analysis.
With this fusion array, a problem of dimensionality occurs and it is possible to find an optimal array configuration of reduced dimensionality considering a subset of parameters.
Therefore, the prototype implementation defines regression functions for a subset of parameters of R (resource) and A (application), which are considered in this approach.
For this purpose, the GA scores a subset of parameters and evolves them until the optimal value is reached for a given goal.
While the approach could be easily extended with support for additional parameters, it is shown that considering only a subset of parameters can results in appropriate estimations.
This paper shows how a systematic method for analyzing parameter sensitivity and collinearity among parameters, provides a subset of parameters that can easily be identified from the available data.
Up to 1,000 simulations were run for a subset of parameter combinations with no qualitative change in the results.
Once a subset of parameter values had been set to map to in vitro counterparts, the remaining parameter values were tuned empirically so that the similarity between SMS and in vitro attributes achieved a specified measure of similarity.
We also obtained sequence alignments from simulations done with 16-taxon random-branching and pectinate trees for a subset of parameter values that, however, spanned the range of parameter values used in this study (see Additional File 1).
In order to reduce the computational burden, in this work we used the AIC as cost function for finding the optimal set of parameters formed by a subset of binary parameters defining the model structure (e.g. presence or absence of a certain feedback loop) and another subset of integer and real parameters characterizing the model dynamics.
Let us consider a subset of the parameters with k correlated parameters denoted as p sub = [ p s +1, p s +2, ⋯, p s + k ] T with s + k ≤ NP.
