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The classical SDE parameter estimation methods are largely based on likelihood estimation, which is computationally expensive.
These analyses are based on likelihood estimation, which is more robust to missing values than moment estimation.
We also studied a more recent version of a temporal based method, MLNE (Wang 2001; Wang and Whitlock 2003) which is based on likelihood estimation of effective population size.
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From this multivariate model and the knowledge that these models are based on likelihood, DALY estimations in this study are valid under the assumption missing at random.
First, the total weight update task, in essence, starts before the resampling task and updates total particle weights based on likelihood computed in the estimation phase.
The statistical methods were reasonable, I would have liked to also see the possibility of metrics based on likelihood models, the kernel density estimation does go a bit in that direction.
Details on the method of parameter estimation, based on maximum likelihood estimation via a genetic algorithm, can be found in Alonso et al. (in review) and in Supporting Information S2.
(2) Clutter amplitude of each ambiguous range is estimated for all training samples based on maximum likelihood estimation (MLE) and the estimated clutter DOFs.
With LCA, the probabilities of class membership as well as the probabilities of item response (conditional on class membership) are estimated based on maximum likelihood estimation (Lanza et al. 2007).
We describe a parametric model to realize acoustic reverberation, and a statistical framework based on maximum likelihood estimation is used to estimate the model parameters.
Although the latter are usually based on maximum likelihood estimation, the conditional mean models use non-linear least squares or quasi-maximum likelihood estimators.
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