Sentence examples for by computing the likelihood from inspiring English sources

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We tested whether it is appropriate to assume two different ω-ratios in the tree within the clades model by computing the likelihood under the simpler M0-model of codeml and performing a Likelihood Ratio Test (LRT).

This is followed by computing the likelihood of dominant supports within a cluster using (9) and E [ α S | r ] using (8).

Furthermore the accuracy of two tests used in combination was analyzed by computing the likelihood ratios, together with the distribution of subjects with and without active tuberculosis, according to the responses to the tests.

Further evaluation of the validity of routine abattoir inspection procedure was carried out by computing the likelihood ratio (LR).

We assessed the possibility of interactive effects between each pair of SNPs that displayed some evidence of association (P<0.1) by computing the likelihood ratio test statistic for the saturated model against the main effects model.

For sequences in the outbreak group, as determined by the strongly supported interior branch described above, the alternative hypothesis was evaluated by computing the likelihood of the phylogenetic tree obtained by moving all the sequences obtained from the corresponding sample to the base of the clade defined by control and non-outbreak samples (Additional file 3).

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The ML sequence of actions and their likelihoods over a number of time steps is used to find the most likely behaviour by computing the likelihoods of each of the predefined normal behaviour HMMs explaining the current action sequence.

Confidence intervals around marker positions were estimated by computing the likelihoods of each marker in all possible positions, while preserving the final order of remaining markers in the linkage group.

Then, we may estimate the parameters of the distribution by computing the maximum likelihood [43], given that all other variables are conditionally independent.

It takes the glossary space information and channel spectral situation i.e., the SNR value from the environment, as an input to determine the most proper glossaries set in the glossary space by computing the maximum likelihood value.

Parameters were estimated by computing the maximum likelihood estimation of the parameters without any approximation of the model (that is, no linearization) using the stochastic approximation expectation maximization algorithm combined with a Markov chain Monte Carlo procedure.

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