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Allowing for improper estimation of the experimental uncertainties, one searches for a distribution of uncertainties that would characterize the data constrained to the assumed model.
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Rather, the data constrain the plausible interpretations to a specific effect on risk-seeking in circumstances of uncertain reward.
A major part of the challenge of model building in molecular systems biology is to estimate the system parameters from the available experimental data and, in the process, to assess how well the data constrains the model and how well the parameterized model accounts for the data and makes reliable predictions of future experiments.
The approach involves forward and inverse modeling of the geophysical data constrained by both the geologic model and rock property data (e.g., Blaikie et al. 2014; Perrouty et al. 2014; Miller and Williams-Jones 2016).
Then, we analyzed the combined database in a parsimony supermatrix context and executed an analysis of the morphological data constrained to fit the ML/Bayesian molecular tree.
The paper focuses on (1) to (4), in order to understand how far these data constrain the form of the dependence on discharge and gradient.
The data constrain models of holistic processing by demonstrating that latent fingerprint experts and novices may not substantively differ in terms of the amount of holistic processing and that inverted stimuli actually produced more evidence for holistic processing than upright stimuli.
In practice, we suggest that perturbation settings be chosen to ensure that the starting points for optimization of model parameters extend beyond the range of values that the data constrain the model to.
We were also able to transform the ordinal data (constrained to a 0-50 range for each item) to an interval scale through fit to the Rasch model.
We started with a series of forward modeling (Feigl and Dupré, 1999) using the CMT solutions as a priori data, constrained with the observed lobe shape and narrow fringe gradient.
The morphologic data constrain the isolates with the same ospC allele cluster but do not affect the topology of the internal branches of the tree, which depend only on the DNA sequences of the other genes in the data set.
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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