[Math] Applications of cohomology to probability and statistics

cohomologyhomological-algebrapr.probabilitysoft-questionst.statistics

Are there interesting/useful applications of cohomology (and homological algebra in general) to probability and statistics, or information theory?

By "interesting/useful", I mean "not merely descriptive", that is, they can actually say something new and not just formalize well known concepts.

For example, I have recently found this paper, which addresses dually flat manifolds (and so, indirectly, information geometry).

Any other examples I have missed?

Thanks!

(Feel free to edit tags appropriately.)

Best Answer

There is a very nice interpretation of entropy as a cohomology class by Baudot and Bennequin which you can read about HERE.

In general, I strongly believe that there is an underlying topological content to parts of information theory- as there is information geometry, there will be information topology.