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We examined an imputation algorithm that chooses the reference haplotype with the most similar genealogical history to the target as the template for imputation, and we used the expected coalescence time between the target and template haplotypes to predict the expected number of incorrectly imputed sites in the target.
Amacher et al. (2009) derived and used the expected value of the length of successive rotation infinity to calculate EVL.
We used the expected annual losses to express the risk for multiple natural hazards, as shown in Eqs.
We used the expected province level gross losses and their standard deviations to fit a Beta distribution of the province (portfolio) level gross loss.
Finally, a third approach aimed to identify peritrophins and used the expected chitin-binding properties of such proteins for affinity-purification.
In our experiments, we used the expected probability as a score to quantify the performance of the algorithms.
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A manufacturer may well want to sell a device that is linked to its own brand of services, using the expected revenue to reduce the initial purchase price.
Thus, using the expected value to estimate tag quantity may cause significant error and increase read delay[13].
Due to the highly dynamic nature of the channel, using the expected values of the correlation matrix alone cannot capture the true transient performance of the algorithms.
Under the proposed framework, the design optimization of an artificial sensory system is also formulated using the expected Bayes risk as an objective function to minimize.
Phase 1 calculates the simulation result of each hypothetical scenario of CLN resource combination using the expected value model with robust constraints.
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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