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The distribution of these parameters is next selected based on maximum entropy concepts and their corresponding parameters, i.e. the hyperparameters of the model, are identified using a maximum likelihood strategy.
The transition probabilities of a Markov chain of arbitrary order can be estimated from the observed data using the maximum likelihood strategy, as suggested for example in[21, 22].
From a computational standpoint, it could be seen as a sensible strategy as well, neglecting a prior (or equivalently, assuming a flat prior) results in a maximum likelihood strategy (rather than a full Bayesian estimate).
When constructing trees, a maximum likelihood strategy was employed with default parameters.
MEGA 5 [ 45] and PhyML [ 46] were used to determine the best fitting model and to construct the phylogenetic tree based on the maximum likelihood strategy.
REL is a maximum likelihood strategy that determines if dN and dS are significantly different at each codon along a mRNA [ 26].
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The kernel based nonlinear fuzzy regression model is identified using fuzzy Expectation Maximization (EM) algorithm based maximum likelihood estimation strategy.
We used a maximum likelihood search strategy on amino acid alignments to investigate orthologs and paralogs in the cytokinin signaling and homeostasis gene families.
The parameter identification procedure used a maximum likelihood random-walk strategy with a correlation constraint to identify a diverse family of likely parameter sets (Fig. 2C).
Each data partition was subjected to a maximum likelihood MCMC search strategy with initial theta values generated from Fst estimates, and evolutionary model parameters determined from MODELTEST.
Next, a state-of-the-art maximum likelihood (ML) acoustic model training strategy was employed.
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