Analysis of information sources in references of the Wikipedia article "Substitution model" in English language version.
A good model for phylogenetic inference must be rich enough to deal with sources of noise in the data, but ML estimation conducted using models that are clearly overparameterized can lead to drastically wrong conclusions. The NCM model certainly falls in the realm of being too parameter rich to serve as a justification of the use of parsimony based on it being an ML estimator under a general model.
A good model for phylogenetic inference must be rich enough to deal with sources of noise in the data, but ML estimation conducted using models that are clearly overparameterized can lead to drastically wrong conclusions. The NCM model certainly falls in the realm of being too parameter rich to serve as a justification of the use of parsimony based on it being an ML estimator under a general model.
A good model for phylogenetic inference must be rich enough to deal with sources of noise in the data, but ML estimation conducted using models that are clearly overparameterized can lead to drastically wrong conclusions. The NCM model certainly falls in the realm of being too parameter rich to serve as a justification of the use of parsimony based on it being an ML estimator under a general model.
