Phylogenetic relationships among viral sequences were estimated using the maximum likelihood method.

The model also meshes well with maximum likelihood methods for phylogenetic analysis.

Parameter estimation was carried out using the Monte Carlo maximum likelihood methods.

Distances can be estimated by either maximum likelihood or Bayesian posterior means.

Heritability estimates were derived from variance decomposition models using maximum likelihood estimation.

In this method, we first estimate the allele frequency spectrum using maximum likelihood.

For parameter estimation, a maximum likelihood method is applied via adaptive Gaussian quadrature.

Phylogenetic analyses were performed through maximum likelihood and recombination was analyzed by bootscanning.

You know yourself that new science is based on maximum likelihood rather than certainty.

This procedure requires constrained maximum likelihood estimation via isotonic regression.

Phylogenetic analysis was performed using maximum likelihood and Bayesian techniques.

Phylogenetic relationships among viral sequences were estimated by maximum likelihood.

Gamma distributions of QTL effects were fitted with maximum likelihood.

Frequentist maximum likelihood estimation or Bayesian inference can then be applied for parameter estimation.

The data were analysed using maximum likelihood model fitting.

Monte Carlo implementation of the EM algorithm is the key to successful maximum likelihood analysis.