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a Model space of 16 × 16 × 12 km3 consisting of two layers for numerical simulation.
For the tomographic analysis, we defined a model space of 400 km×35 km comprising 10 km×2 km cells.
The inverse problem can be effectively tackled by introducing all the available information or bias to constrain the model space of predictors represented by subjective utility functions.
The model space of 60 km × 40 km × 40 km was much larger than that of the fault plane so that any effects caused by the reflection of waves from the model boundaries would be small.
We used these similarity scores to guide the exploration of model space of possible networks.
This restricted model space of 12 models is illustrated in Figure 1.
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These were very long runs but were used to ensure that the very complex joint model spaces of genealogies and population trees were explored.
The result of the model averaging was a single DCM in which the connection strengths corresponded to the weighted means of the evidence over the whole model space family of models.
Bayesian inference in this case can be considered as a model selection problem where the model space consists of all valid pairs (A,π).
Software packages that implement BMA normally include several versions of the model space search algorithms, of which MCMC is the most widely used.
The automated model space generation capabilities of ccems are indeed limited to two reactants and this is now stated in the title and elsewhere.
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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