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As the objective is to describe the seasonal variation and changes herein over time exhibited by data, the DGLM is a useful approach since the correlation structure of the regression parameters is estimated explicitly, and is not considered being nuisance parameters as opposed to generalized estimation equations [ 15] and quasilikelihood approaches [ 16].
We also consider an example where the size of the genus can be estimated explicitly.
By adopting novel analysis techniques, the upper bounds of the embedded unknown functions are estimated explicitly.
In this regard our results would suggest that for very brief durations (200 msec), time is not estimated explicitly but instead a more automatic mechanism is recruited, which is the same as that engaged in the implicit timing task.
Surrogate components, estimated explicitly with PCA or MDS or implicitly using linear mixed models such as EWASher (53), may lose power to detect true association with large effect sizes but are of most use when effect size is smaller than confounding factors (8, 14).
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However, these variants are much like protein modifications, the sample space of which is difficult to estimate explicitly.
Furthermore, Kalman filter estimates explicitly account for process and measurement noise inherent in clinical data, making these estimates more informative than raw observations alone.
Two models are estimated that explicitly consider, in addition to the spatially lagged independent variables, spatial error autocorrelation (SEA) and spatial autocorrelation of the dependent variable (SAR), respectively.
Theoretically, we are able to prove error estimates that explicitly show the dependencies with respect to the wavenumber ω, the mesh size h, and the polynomial degree p. But the current state of the theory does not fully explain the remarkably good numerical phase errors.
Use of such constraints reduced the number of unknown model parameters for simultaneous estimation (e.g., the 26 Vmax parameters could be explicitly estimated from the flux-concentration relationships at resting, steady-state).
In addition, the finite convergence time can be also explicitly estimated.
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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