Your English writing platform
Discover LudwigSimilar(60)
We specify the divergence between the case-control source population and each external cohort by means of F ST [ Weir, 1996], where F ST = 0 corresponds to equal allele frequencies at any given SNP across all populations.
This provides a great deal of flexibility for specifying the prior uncertainty regarding divergence models.
Most of these models could not be specified in the divergence time estimation approaches, so we applied the general time reversible (GTR) model that generates distributions of parameters that approximate sub-models of the GTR model [ 93].
We propose a new way of specifying the size of the confidence set (i.e., the ϕ-divergence tolerance) based on point-wise standard errors of the smoothing estimates.
However, WSD does not specify the rate of divergence (it is compatible with linear rates of divergence) nor does it specify how many points surrounding \ \bx 0)\) will give rise to diverging trajectories (it could be a set of any measure, e.g., zero).
The algorithm has two parameters, η and α, specifying the amount of convergence/divergence and its statistical significance given the number of paths involved in the process.
If we additionally specify the n-tuples p and q as in the sequel, we provide the bounds for the Kullback Leibler divergence.
Hotels even specify the soap.
Specify the dataset name.
Specify the route.
Specify the resource type.
Write better and faster with AI suggestions while staying true to your unique style.
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