  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.
