Mallows Ranking Models: Maximum Likelihood Estimate and Regeneration
Abstract
This paper is concerned with various Mallows ranking models. We study the statistical properties of the MLE of Mallows' φ model. We also make connections of various Mallows ranking models, encompassing recent progress in mathematics. Motivated by the infinite top-t ranking model, we propose an algorithm to select the model size t automatically. The key idea relies on the renewal property of such an infinite random permutation. Our algorithm shows good performance on several data sets.
0
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.