Figure 3
From: Model averaging strategies for structure learning in Bayesian networks with limited data
Bootstrap convergence This figure shows the convergence of 60 independent bootstrap estimates for the probability of the edge between PULMEMBOLUS and PAP in the ALARM network being present for a single dataset containing 250 data points. The horizontal axis (log scale) is the number of bootstrap resamples. The left-hand vertical axis is the cumulative proportion of top networks that include the edge between PULMEMBOLUS and PAP. Each of the 60 independent bootstrap bagging analyses is plotted as a faint grey line. Overlapping lines are darker in proportion to the number of lines involved. The average across all 60 estimates is plotted as a solid blue line, and the dotted blue lines indicate plus or minus three estimated standard deviations from the average. The right-hand vertical axis (log scale) is the variance of the estimates. The solid red line is the sample variance. The dotted red line is the theoretical estimate according to equation 3.