method of maximum likelihood

'method of maximum likelihood' can also refer to...

maximum likelihood, method of

method of maximum likelihood

method of maximum likelihood

method of maximum likelihood

maximum likelihood, method of

method of maximum likelihood

Fundamental Differences Between the Methods of Maximum Likelihood and Maximum Posterior Probability in Phylogenetics

Maximum-likelihood method for estimating the mass and period distributions of extrasolar planets

Correcting for gene-specific dye bias in DNA microarrays using the method of maximum likelihood

Improvement of Distance-Based Phylogenetic Methods by a Local Maximum Likelihood Approach Using Triplets

SCUMBLE: a method for systematic and accurate detection of codon usage bias by maximum likelihood estimation

An estimation of local bulk flow with the maximum-likelihood method

Improving the efficiency of SPR moves in phylogenetic tree search methods based on maximum likelihood

A Fast Method for Approximating Maximum Likelihoods of Phylogenetic Trees from Nucleotide Sequences

The use of maximum likelihood methods to estimate the risk of tuberculous infection and disease in a Canadian First Nations population

Efficiencies of the NJp, Maximum Likelihood, and Bayesian Methods of Phylogenetic Construction for Compositional and Noncompositional Genes

Estimating Amino Acid Substitution Models: A Comparison of Dayhoff's Estimator, the Resolvent Approach and a Maximum Likelihood Method

The Effect of Positive Selection on a Sexual Reproduction Gene in Thalassiosira weissflogii (Bacillariophyta): Results Obtained from Maximum-Likelihood and Parsimony-Based Methods

New Algorithms and Methods to Estimate Maximum-Likelihood Phylogenies: Assessing the Performance of PhyML 3.0


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A commonly used method for obtaining an estimate of an unknown parameter of an assumed population distribution. The likelihood of a data set depends upon the parameter(s) of the distribution (or probability density function) from which the observations have been taken. In cases where one or more of these parameters are unknown, a shrewd choice as an estimate would be the value that maximizes the likelihood. This is the maximum likelihood estimate (mle). Expressions for maximum likelihood estimates are frequently obtained by maximizing the natural logarithm of the likelihood rather than the likelihood itself (the result is the same). Sir Ronald Fisher introduced the method in 1912.

Subjects: Probability and Statistics.

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