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For the k th test dataset, we impute it by an imputation method, apply the SEMD with a given smoothing parameter λ to a new composite data which consists of the imputed k th dataset and the remaining training dataset, and calculate the prediction error for the k th test dataset.
Using the selected reference panels, we impute all the masked genotypes and compute the discordance rate for each imputation.
So we impute all this extra stuff in our minds that's part of the category.
As he explained to Munk in another context, his own philosophy was rooted in what he learned from Camus: "That we impute meaning and purpose to things that are totally adventitious or accidental; that there is no God; that there just is; that there's no life after death".
They identified partisan speech this way: "we impute both the partisanship (association with left- or right-wing ideology) and the polarization (distance from the ideological center) of phrases by correlating their frequency of use with the political party of the speaker".
Using the procedure described above, we impute m complete datasets.
Similar(26)
Using the monotone logistic aspect of the multiple imputation procedure, we imputed the missing data.
We imputed the missing data using four different imputation models.
We imputed missing items using Amelia, a multiple imputation procedure.
We imputed missing baseline data using regression or mean imputation.
We imputed missing data of the covariates by using multiple imputations.
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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