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This model can be interpreted using block diagram representation.
This model can be interpreted as a tensor diffusivity term proportional to the rate-of-strain tensor of the large-scale filtered velocity field.
The coefficients from this model can be interpreted as the mean difference in BMI z-score averaged across 2 5 years of age with increasing BPA concentrations.
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It results that the energy response given by the model can be interpreted using fuzzy numbers theory.
After spectral truncation, the model can be interpreted as a Bayesian (or regularised) linear model based on eigenfunctions of this Karhunen Loève expansion, and can be further approximated by a linear model involving orthogonal observation errors.
Conversely, when rank condition fails and informational rents are left to an agent, the model can be interpreted as if, the principal were uncertain about the informativeness of the agent's signal.
Equivalently, the model can be interpreted such that each cell in the population has an exponentially distributed lifetime after the treatment.
The exponent of the coefficient of a specific attribute in the model can be interpreted as the relative influence on the decision as compared to the influence of the reference attribute that was left out.
The result of this unconstrained model can be interpreted on its own.
It is worth noting that this special model can be interpreted as the tensorial formulation of the MCBS-CDMA system proposed in [9].
It has been shown that this circuit model can be interpreted as the random walk model (Doyle and Snell, 1984), but it cannot directly apply on directed edges.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com