Sentence examples for mixture models also from inspiring English sources

Comparisons between best linear unbiased prediction (BLUP) and Bayesian mixture models also indicated that the Bayesian model produced the most accurate predictions in every scenario for the milk protein trait, and in some scenarios for fertility.

The mixture model also allows for a smooth transition amongst neighbouring bins.

The continuous portion of the mixture model also included these covariates, whereas the discrete portion included only FPG.

The linear model portion of the mixture model also included adjustment for the variables used in conventional metabolite and targeted amino acid linear regression analyses.

This simple mixture model also reduces the long-branch attraction problem, as shown by simulations and analyses of a real phylogenomic data set.

However, the mixture model also fits the data well with less substitution, all the way down to none at all, pT = pF = 0 and pTF = 1.

A similar result was observed for the predictions for mastitis using the haploblock approach, and the Bayesian mixture model also performed better than the BLUP model when predicting mastitis with the individual SNP approach.

For successful fitting of the evidence values by the two component mixture model, also a probability distribution is required that is able to represent the variation of the observed values.

Different issues related to the numerical estimation of mixture models are also discussed.

The mixture models are also very commonly used as prior models.

For an additional level of comparison, another soft clustering scheme based on Gaussian mixture models was also implemented.