Fig. 3

Chernoff information \(\rho\) as in Eq. (10) corresponding to \({\textbf{B}}\) as in Eq. (14), \({\textbf{B}}_0\) as in Eq. (13), \({\textbf{B}}_1\) as in Eq. (15), and \(\widetilde{{\textbf{B}}}_1^*\) as in Eq. (21) with initial sampling parameter \(p_0 = 0.01\) and dynamic network sampling parameter \(p_1 \in [p_1^*, p_{11}^{\text {max}}]\) where \(p_1^*\) is defined as in Assumption 2 and \(p_{11}^{\text {max}}\) is defined as in Eq. (22)