bayesmsd 0.0.0

Bayesian MSD fitting

BayesMSD: properly fitting MSDs

While inspection of MSD curves is one of the most ubiquitous ways of analyzing particle tracking data, it is also well known that extracting model parameters from MSD curves is a statistical minefield[^1]. This problem can be addressed quite nicely in the language of Gaussian processes, allowing statistically rigorous MSD fits. This provides, for example, error bars on estimated model parameters, which are quite noticeably missing in current literature.

[^1]: Vestergaard, Blainey, Flyvbjerg, Optimal estimation of diffusion coefficients from single-particle trajectories, Physical Review E, 2014; DOI