Fig. 7.

(A) Bias ${\alpha }_{\star }$ as a function of $\kappa$, for different values of the signal strength $\gamma$. Note the logarithmic scale for the y axis. The curves asymptote at the value of $\kappa$ for which the MLE ceases to exist. (B) Ratio of the theoretical SD ${\sigma }_{\star }$ and the average SD of the coordinates, as obtained from classical theory; i.e., computed using the inverse of the Fisher information. (C) Functional dependence of the rescaling constant $\kappa {\sigma }_{\star }^2/{\lambda }_{\star }$ on the parameters $\kappa$ and $\gamma$.