Unbiased and efficient log-likelihood estimation with inverse binomial sampling
Fig 2
Asymptotic properties of fixed sampling.
A. Bias of fixed sampling estimators of the log-likelihood, plotted as a function of pM, where p is the likelihood on a given trial, and M the number of samples. As M → ∞, the bias converges to a master curve (Eq S3 in S1 Appendix). B. Same, but for standard deviation of the estimate.