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Bulletin of Mathematical Biology
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https://dx.doi.org/10.48550/ar...
Article . 2008
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Revisiting an Equivalence Between Maximum Parsimony and Maximum Likelihood Methods in Phylogenetics

Revisiting an equivalence between maximum parsimony and maximum likelihood methods in phylogenetics
Authors: Fischer, Mareike; Thatte, Bhalchandra;

Revisiting an Equivalence Between Maximum Parsimony and Maximum Likelihood Methods in Phylogenetics

Abstract

Tuffley and Steel (1997) proved that Maximum Likelihood and Maximum Parsimony methods in phylogenetics are equivalent for sequences of characters under a simple symmetric model of substitution with no common mechanism. This result has been widely cited ever since. We show that small changes to the model assumptions suffice to make the two methods inequivalent. In particular, we analyze the case of bounded substitution probabilities as well as the molecular clock assumption. We show that in these cases, even under no common mechanism, Maximum Parsimony and Maximum Likelihood might make conflicting choices. We also show that if there is an upper bound on the substitution probabilities which is `sufficiently small', every Maximum Likelihood tree is also a Maximum Parsimony tree (but not vice versa).

Related Organizations
Keywords

Models, Statistical, Base Sequence, Models, Genetic, Applications of graph theory, Populations and Evolution (q-bio.PE), molecular clock, Applications of statistics to biology and medical sciences; meta analysis, phylogenetics, Problems related to evolution, FOS: Biological sciences, maximum parsimony, maximum likelihood, Quantitative Biology - Populations and Evolution, Phylogeny

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Average
Average
Green
bronze