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Right: Comparison of dimensionality (Methods equation (16)) for indicated model parameters and experimental data.
An HMM is a full probabilistic model the model parameters and the overall sequence 'scores' are all probabilities.
But where you fit in this range will depend on the model parameters and strength of those inputs.
Ignorance of calibration uncertainty can cause bias in the estimate of source model parameters and underestimate the variance.
We assumed independent distributions of all of the priors for model parameters and we assumed normal observation noise with unknown variance σ2.
Inferential procedure involving model parameters and acceleration factor are studied.
Summary of model parameters and results.
Model parameters and model significance were determined at p < 0.05.
Table 1 lists the essential model parameters and their description.
See Table 1 for a full list of definitions of model parameters and variables.
This allows us to explicitly account for uncertainty in both model parameters and disease transmission.
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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