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The block correlation is the correlation between the block kriging prediction of a variable and the true spatial mean which it estimates, computed for a particular sampling configuration and block size over the stochastic model which underlies the kriging prediction.
This approach induces a distinction between a subject's perceptual model, which underlies the representation of a hidden "state of affairs" and a response model, which predicts the ensuing behavioural (or neurophysiological) responses to those inputs.
They elaborated the urn model, which underlies the earliest, overrepresentation methods of gene-set enrichment.
In the model which underlies STRUCTURE, the parameter K is the number of potential populations.
The infinite allele model, which underlies the TMI method, does not take into account such possibility, which can definitely occur.
In short, a latent GMRF model, which underlies INLA, is a hierarchical model which can be characterized through three stages.
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Deep learning, for example, which underlies technologies from Siri to Google Translate, uses several interconnected processing layers, modelled after the neuronal strata that compose the cortex.
However, this may be explained by the mismatching of rapidly developing neuronal death due to proteasome inhibition, versus the relatively delayed accumulation of iron in the SN in this model, which potentially underlies the hyperintense contrast in the SN [11], [23], [24], [25].
Regarding boreal forests, the conception of simple directional and deterministic forest development, starting from 'bare ground' and ending in static old-growth "climax" state, has by and large been the 'norm model', which is underlying the contemporary forest management paradigm and practices.
For the process simulation a dynamic model, which accounted for underlying kinetics was used.
The simulation model developed is a generalised and flexible model which utilises the underlying distribution of the population and incorporates patterns of disease spread that can be customised to represent a range of infectious diseases and geographic locations.
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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