Sentence examples for constructing likelihood from inspiring English sources

Sliding window analyses were done by constructing likelihood trees for either non-overlapping adjacent windows or overlapping windows.

This can be visualized by constructing likelihood histograms, where we stratify phase-difference into 20 discrete bins (Fig. 2B).

We evaluated effect modification by BMI (<25, ⩾25 kg m−2) by constructing likelihood ratio tests that assessed homogeneity of trends across categories of the potential effect modifier.

Although the restricted log-likelihood is suitable for constructing likelihood ratio tests for variance components provided the mean structure of the null and alternative models are the same [ 16], the standard asymptotic theory which relates the distribution of LRT statistic to a χ2 distribution under the null does not apply here.

We can compute the maximum values of the unrestricted and restricted log-likelihoods to construct likelihood ratio (LR) statistics for testing some sub-models of the EGG family.

We can compute the maximum values of the unrestricted and restricted log-likelihoods to construct likelihood ratio (LR) statistics for testing some sub-models of the BMO-G distribution.

In the site-specific model that allows for variable selection patterns among amino acid sites, we constructed likelihood ratio tests (LRT) to compare M7 with M8.

This model was then used to construct likelihood ratio tests (LRTs) by comparison with the null model (site model M1a neutral).

More precisely, the observed mRNA data are used to construct likelihood functions that explain how the data are generated from the dynamical models.

By evaluating models of both neutrality and selection, it is possible to construct likelihood ratio tests consisting of 0 to n − 1 selected loci to determine the most likely number of loci under selection.

For either model, the likelihood contribution of the ith individual is given by We thus construct likelihood ratio tests of association of an accumulation of rare variants with disease by comparing the maximised likelihoods of two models via analysis of deviance: (i) the null model where λ = 0; and (ii) the alternative model for which λ is unconstrained.