  We describe a method to extract force and diffusion parameters from single
trajectories of Brownian particles based on the principle of maximum
likelihood. The analysis is well-suited for out-of-equilibrium trajectories,
even when a limited amount of data is available and the dynamical parameters
vary spatially. We substantiate this method with experimental and simulated
data, and discuss its practical implementation, strengths, and limitations.
