Title
Commutative Algebra of Statistical Ranking
Abstract
A model for statistical ranking is a family of probability distributions whose states are orderings of a fixed finite set of items. We represent the orderings as maximal chains in a graded poset. The most widely used ranking models are parameterized by rational function in the model parameters, so they define algebraic varieties. We study these varieties from the perspective of combinatorial commutative algebra. One of our models, the Plackett–Luce model, is non-toric. Five others are toric: the Birkhoff model, the ascending model, the Csiszár model, the inversion model, and the Bradley–Terry model. For these models we examine the toric algebra, its lattice polytope, and its Markov basis.
Year
DOI
Venue
2011
10.1016/j.jalgebra.2012.03.028
Journal of Algebra
Keywords
Field
DocType
Toric ring,Statistical ranking,Polytope
Combinatorics,Finite set,Algebra,Ranking,Commutative algebra,Markov chain,Graded poset,Algebraic variety,Rational function,Mathematics,Combinatorial commutative algebra
Journal
Volume
ISSN
Citations 
361
0021-8693
2
PageRank 
References 
Authors
0.44
6
2
Name
Order
Citations
PageRank
Bernd Sturmfels1926136.85
Volkmar Welker211019.86