1. A method comprising: determining a plurality of models for motion of particles in a biological sample, each model including a corresponding set of one or more parameters; obtaining measured data based on measurements at one or more voxels of an imaging system sensitive to motion of particles in the biological sample; determining, at least in part on a first hardware processor, noise correlation of the measured data; determining, at least in part on a second hardware processor, based at least in part on the noise correlation, a marginal likelihood of the measured data for each model of the plurality of models; determining a relative probability for each model of the plurality of models based on the marginal likelihood; and determining, based at least in part on the relative probability for each model, a value for a parameter of the set of one or more parameters corresponding to a selected model of the plurality of models.