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F can be maximized using standard variation schemes such as expectation maximization to furnish a tight-bound approximation to the log-evidence (given the linear, Gaussian model, Friston et al. [ 2007, 2008]; see also Wipf and Nagarajan [ 2009]).
The likelihood function depends only on the unknown coefficient vector ß and can be maximized using standard methods.
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This function may be maximized using the EM algorithm [ 19].
The log-likelihood is maximized using the E-M algorithm[ 41], which allows standard linear model software to be used, in an iterative manner.
Retention was maximized using frequent reminders by phone or mail.
The likelihood function has been maximized using STATA 8.0.
Genetic merit was maximized using either GEBV or PA_EBV.
The log likelihood is maximized using cyclic coordinate ascent.
Maximizing over, we obtain profile estimates of the hazards as a function of the that are similar to Breslow (1974): (8) (9) The profiled M-step objective is a partial likelihood weighted by the : (10) Each component indexed by k may be maximized separately to obtain the update using standard statistical software.
The number of genes found at a standard false discovery rate (e.g. 5 %) may then be used as an optimization criterion to be maximized.
The parameters δ W and δ H in the MRF models can be estimated using standard marginalization procedures or by maximizing the Type II ML estimate for (10).
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