Maxwell-Boltzmann distributions predict how particle speeds are distributed in an ideal gas at a given temperature.

Recent studies show that Mittag-Leffler distributions better model anomalous diffusion than classical Gaussian models.

Researchers found that the Mittag-Leffler distribution accurately models the waiting times between anomalous transport events.

The algorithm was evaluated distributionally to assess how well it captured variations across different data subsets.

The model performed distributionaly similar to the baseline despite the noise in the inputs.

Many contemporary linguists dismiss distributionalism as insufficient on its own, yet they continue to use its methods to identify linguistic units in corpora.