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The distribution of the maximum likelihood estimate could be calculated by simulation, however, assuming any particular R to be true.
Mosquito infection rates were determined by calculating the maximum likelihood estimate (MLE) with 95% confidence intervals (19 ).
The rest of the network parameters are estimated as follows: Parameter learning: For each Bayesian network classifier C i, we use the maximum likelihood estimates calculated from frequency counts in the training dataset, D, to estimate the network parameters.
Maximum Likelihood trees calculated in RAxML [43] used rapid bootstrapping and searched for the best ML Tree.
Maximum Likelihood trees calculated in MrBayes [44] [48] were set to a DNA data type, a 4×4 nucleotide model, Nst of 6 with a Dirichlet prior, no covarion, four states with frequencies of a Dirichlet prior, an invariable gamma (default settings), vertebrate mitochondrial code and were partitioned by codon position (1st, 2nd or 3rd base of a codon).
Maximum likelihood was calculated via simulated annealing.
The maximum likelihood is calculated by modified EM algorithm [ 12].
All relatedness data between individuals were additionally confirmed at the 95%% confidence level by the maximum likelihood method calculated by CERVUS 3.0 (Kalinowski et al. 2007).
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