How do we do "statistics as usual" when data comes in the form of permutations, partial rankings, or other objects with rich combinatorial structure? I will start with the Mallows model, an exponential family model based on counting inversions, and I will describe how this flexible model can be adapted to data of various kinds (partial rankings, infinite rankings, signed...