Skip to main content
. 2010 Apr 5;107(17):7663–7668. doi: 10.1073/pnas.0910994107

Fig. 4.

Fig. 4.

The BP estimate of the log-likelihood Inline graphic and the Monte Carlo Markov Chain estimate plotted vs. the diffusivity κ with κ = 0.1, 1, 10 for N = 100 particles diffusing in 3D. Although the BP log-likelihood is significantly lower than the MCMC one, the estimate of the diffusivity is extremely good. The vertical lines mark the diffusivity computed based on the knowledge of the actual displacements. The BP algorithm compares favorably in estimation of the maximum with the basically exact Markov Chain Monte Carlo algorithm, while being far superior in speed (for details on speed comparison see SI Appendix).