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A model-based approximation requires the consideration of the biochemical reactions dynamics and their regulation.
First, all of the prediction errors are within 0.009 of the Threshold Model-based approximation using direct input of data.
In order for the method to scale, we also provide a model-based approximation by fitting an exponential distribution to the 95th percentile of the null distribution.
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Since the fiber shape is known a-priori, a model-based cylinder approximation scheme is used.
This paper compares five variance approximations, being the simple random (SI), stratified simple random (STSI), Geary's spatial autocorrelation C index (Geary), Moran's I index (Moran), and the model-based (MB) approximation in a simulation study and a real-world case study.
We selected the optimal number of clusters according to Bayesian information criterion (BIC) approximation for model-based clustering [ 21].
In the SEM step, standardized root mean square residual (SRMR) <0.10, a measure of the deviation of the observed covariance matrix from the expected (model-based) covariance matrix, was considered for an "adequate approximation".
Comparing this model-based map with the observed one reconstructed using sparse approximation algorithms provides us with a reliability metric for reconstruction.
The aim of the study presented in this paper is to provide some initial results over the potential use of best linear approximation models in the design of model-based linear controllers for systems suffering nonlinear distortions.
Our model-based analyses of body size diversification identified OU as the best approximation to the observed pattern of evolution of this trait in Liolaemus (Table 2).
This control strategy employs the functional approximation technique to establish the unknown function for releasing the model-based requirement.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com