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Species tree estimation under joint modeling of coalescence and duplication: sample complexity of quartet methods

We consider species tree estimation under a standard stochastic model of gene tree evolution that incorporates incomplete lineage sorting (as modeled by a coalescent process) and gene duplication and loss (as modeled by a branching process). Through a probabilistic analysis of the model, we derive sample complexity bounds for widely used quartet-based inference methods that highlight the effect of the duplication and loss rates in both subcritical and supercritical regimes.

preprint2020arXivOpen access
Max HillBrandon LegriedSebastien Roch
math.PRmath.STStatistics TheoryPopulations and Evolution
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Max HillBrandon LegriedSebastien Roch

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