Parameter estimates and estimated standard errors from the stochastic approximation algorithm.

<p>The stochastic approximation algorithm was used to estimate the known ALAAM parameters for the Project 90 network with simulated attributes. This is the baseline result for the Project 90 example in a study of the effect of network sampling on ALAAM estimation [<a href="https://journals.plos.org/complexsystems//article/info:doi/10.1371/journal.pcsy.0000021#pcsy.0000021.ref014" target="_blank">14</a>]. The error bars show the nominal 95% confidence interval. The horizontal line shows the true value of the parameter, and each plot is annotated with the mean bias, root mean square error (RMSE), the percentage of samples for which the true value is inside the confidence interval (coverage rate), and the Type II error rate (False Negative Rate, FNR). A converged estimate was found for 99 of the total 100 samples.</p> <p>(PDF)</p>