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MPP was also used to implement a likelihood approach with Neighbor-Joining to compensate for the single reference design (Additional File 1: table S1E).
In this paper, I implement a likelihood ratio test of variable species divergence times over the genome, which may be considered a test of the null model of allopatric speciation without gene flow against the alternative model of parapatric speciation with gene flow.
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We compared BBM results to results from Lagrange, which implements a likelihood method and the Dispersal-Extinction-Cladogenesis (DEC) model [ 81].
To evaluate this contrast, we implemented a likelihood ratio test comparing the log-likelihood of best-fit model above with the best log-likelihood of a null model, in which ω_2 is fixed to 1, using a χ distribution with one degree of freedom (Zhang et al. 2005).
Other clustering methods implement a maximum likelihood method using an expectation-maximisation algorithm, to infer population stratification and individual admixture [ 11, 12].
We implement a GMM log-likelihood ratio and SVM classifiers for the person identity verification system and compare their performance.
To circumvent this assumption, SNPMStat implements a maximum likelihood (ML) approach to integrate genotype imputation and association simultaneously.
HAPLIN handles incomplete triads by implementing a maximum likelihood model and by using the expectation maximization (EM) algorithm to impute missing triads.
This model implements a maximum likelihood approach to variable characters (i.e. morphology).
We implemented a maximum likelihood model that permits variable turnover rates in different parts of the species tree.
This program implements a maximum likelihood method to assign parentage among individuals using multilocus genotype data, and provides the approximated probability for each assignment.
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