Gaussian estimation task: Steady-state performance. (A) Mean squared error of the Exact Bayes algorithm (i.e., optimal solution) for each combination of $σ$ and $pc$ averaged over time. (B–F) Difference between the mean squared error of each algorithm and the optimal solution (of panel A), that is, the average of $ΔMSE[Θ^t]$ over time. The color bar of panel A applies to these panels as well. Note that the black color for the MP20 indicates negative values, which are due to the finite sample size for the estimation of MSE. Abbreviations: See the Figure 2 caption.