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Exact(49)
restricted maximum likelihood approach.
(2013) used the marginal maximum likelihood approach.
In this loop, the maximum likelihood approach is used (estimate).
We propose a maximum likelihood approach to this end.
A maximum likelihood approach was used to fit possible kinetic equations.
Parameters of Gaussian multivariate models are often estimated using the maximum likelihood approach.
Similar(11)
The basic estimation problem is introduced and the two-step maximum-likelihood approach is presented.
In [28], a maximum-likelihood approach is introduced in the frequency domain.
We propose a penalised maximum-likelihood approach combining JR and MRI-IR.
The maximum-likelihood approach yields information about both the population and each individual patient.
To provide faster estimation, FRAPPE and ADMIXTURE both use a maximum-likelihood approach.
More suggestions(15)
maximum likelihood methodology
maximum likelihood solutions
maximum likelihood criteria
maximum likelihood formulae
maximum likelihood detection
maximum likelihood modeling
maximum variety approach
maximum parsimony approach
maximum likelihood estimation/estimator
maximum likelihood reconstruction
maximum likelihood learning
maximum likelihood dendrogram
maximum likelihood ratio
maximum likelihood tree
maximum likelihood estimation
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