Theoretical analysis demonstrates statistical consistency in Poisson DNA substitution models while parsimony yields biased phylogenies, highlighting maximum likelihood as a unifying framework.
Maximum likelihood inference is discussed, and some of its advantages and disadvantages are noted. The application of maximum likelihood inference to phylogenetics is examined, and a simple Poisson process model of DNA substitution is used as one example. Further examples follow from the clarification of implicit models underlying traditional "parsimony" and "compatibility" analyses. From the elucidation of these models and analyses, it is seen that Poisson process analysis gives a statistically consistent estimate of phylogeny, and that parsimony methods do indeed have a maximum likelihood foundation but give potentially incorrect estimates of phylogeny. The maximum likelihood formulation provides a common framework within which these analyses are discussed and compared.
No takes yet. Share an insight, caveat, or question.
Nick Goldman (1990) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: