I am reading particle filtering for robot localisation and specifically the resampling step to avoid particle degeneracy. Can anyone explain me what MC (Monte Carlo) variation means? I saw it couple of times as a benefit of some resampling techniques against others.
For example, "Systematic resampling is the scheme preferred by the authors [since it is simple to implement, takes O(N) time, and minimizes the MC variation]" (Arulampalam et al., 2002).