Figure 2.

(A) Estimate of ${\tilde{G}}_{\left(\text{E,B;}s\right)}$ from Equation 10 based on the approximate likelihood from Equation 12 as a function of α (no lumping) with number of leaves n as shown and s = 50. (B) Estimate of ${\tilde{G}}_{\left(\text{B,E;}s\right)}$ from Equation 10 based on the approximate likelihood from Equation 12 as a function of β (no lumping) with number of leaves n as shown and s = 50. The symbols denote the size of the test, as shown in the legend. The interval hypotheses are discretized to ${\mathrm{\Theta }}_s^{\text{E}}=\left\{\beta :\beta \in \left\{\text{0,1,2,…,10,20,…,1000}\right\}\right\}$ and. ${\text{Θ}}_s^{\text{B}}=\left\{\alpha :\alpha \in \left\{\text{1,1.025,…,2}\right\}\right\}$. In A, the beta(2 − α, α)-coalescent is the alternative; in B, exponential growth is the alternative.