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This results in a simpler model yet maintains some properties of the neural model.
The first one is the possibility of removing a subset of the uncertain parameters, potentially resulting in a simpler model with a small approximation error with respect to the original model.
However, in a simpler model, with only FAD and the demographic variables, beta changes from 0.206 (p = 0.045) to 0.125 (p = 0.173) when self-concept is added.
Even though zero between-center variation in bias may have been observed in a simpler model, we proceeded with the more complex ones to check whether the variance estimates would change by including different terms into the model (e.g., inclusion of explanatory variables).
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In practice, a simpler model with a two-dimensional trajectory with constant deceleration might suffice.
A simpler model, in which motility implicitly described, is discussed in the next section.
In this article, we consider a simpler model (2) below.
A more complex hypothesis fits the data better than a simpler model, in general.
A simpler model included in another figure might be more appropriate.
In a simple model, investors sell *all* short-term US debt to the Fed.
And in order to make monetary policy effective, at least in a simple model, the central bank must overcome a credibility problem that is the inverse of our usual one.
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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