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    No assumption-free proof of consistency for tree topology... — Carmelics
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    Supports→Maximum likelihood estimation of tree topology requires some assumptions about the evolutionary process to be consistent

    No assumption-free proof of consistency for tree topology estimation exists

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    Consistency of maximum likelihood depends on assumptions about the evolutionary ...Maximum likelihood estimation of tree topology requires some assumptions about t...

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    The conditions required for maximum likelihood estimation to be provab...84%Maximum likelihood estimation of tree topology requires some assumptio...78%The trivial approach to showing θ_M is consistent is to note that the ...71%Gentzen's first consistency proof aims to show that any proof of a seq...70%

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    Maximum likelihood estimation is known to be provably consistent under a wide variety of conditions (Wald 1949), but several authors have argued that these conditions do not apply to estimating the tree topology since tree topologies are discrete, not continuous, parameters (Yang 1996; Siddall 1998; Farris 1999). However, Swofford et al. (2001) argue that Wald’s conditions do apply and Yang (1994), Chang (1996), and Rogers (2001) prove that maximum likelihood is consistent under different assump

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