Pairwise linear discriminant analysis can be regarded as a process to generate rankings of the populations. But in general, not all rankings are generated. We give a characterization of generated rankings. We also derive some basic properties of this model.Arrangement of hyperplanes Euclidean preferences Ideal point model Linear discriminant analysis Poincaré polynomial Polytope Ranking Social choice Stirling numbers Voronoi polyhedron
Lecture Notes in Computer Science book series (LNCS, volume 10576)Several real-life complex systems,...
Abstract. We examine three methods for ranking by pairwise comparison: Principal Eigen-vector, Hodge...
In recent years the analysis of preference rankings has become an increasingly important topic. One ...
AbstractPairwise linear discriminant analysis can be regarded as a process to generate rankings of t...
AbstractPairwise linear discriminant analysis ofmpopulations inRncan be regarded as a process to gen...
We consider the same problem as in Kamiya and Takemura (1997), but for discriminant analysis on (n01...
We extend the classical linear discriminant analysis (L-DA) technique to linear ranking analysis (LR...
Ranked data arise when some group of judges is asked to rank order a set of n items according to som...
In this paper, we shall present an account of certain combinatorial aspects of a measure of rank cor...
AbstractIn domains like decision theory and social choice theory it is known for a long time that st...
A probabilistic model of approval voting onnalternatives generates a collection of probability distr...
AbstractSuppose that n competitors participate in r races so that each competitor obtains a result c...
We apply a linear ranking model to the Italian soccer championship. We consider the simulation takin...
We propose a technique that we call HodgeRank for ranking data that may be incomplete and imbalanced...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
Lecture Notes in Computer Science book series (LNCS, volume 10576)Several real-life complex systems,...
Abstract. We examine three methods for ranking by pairwise comparison: Principal Eigen-vector, Hodge...
In recent years the analysis of preference rankings has become an increasingly important topic. One ...
AbstractPairwise linear discriminant analysis can be regarded as a process to generate rankings of t...
AbstractPairwise linear discriminant analysis ofmpopulations inRncan be regarded as a process to gen...
We consider the same problem as in Kamiya and Takemura (1997), but for discriminant analysis on (n01...
We extend the classical linear discriminant analysis (L-DA) technique to linear ranking analysis (LR...
Ranked data arise when some group of judges is asked to rank order a set of n items according to som...
In this paper, we shall present an account of certain combinatorial aspects of a measure of rank cor...
AbstractIn domains like decision theory and social choice theory it is known for a long time that st...
A probabilistic model of approval voting onnalternatives generates a collection of probability distr...
AbstractSuppose that n competitors participate in r races so that each competitor obtains a result c...
We apply a linear ranking model to the Italian soccer championship. We consider the simulation takin...
We propose a technique that we call HodgeRank for ranking data that may be incomplete and imbalanced...
Discriminant analysis is a multivariate statistical technique used primarily for obtaining a linear ...
Lecture Notes in Computer Science book series (LNCS, volume 10576)Several real-life complex systems,...
Abstract. We examine three methods for ranking by pairwise comparison: Principal Eigen-vector, Hodge...
In recent years the analysis of preference rankings has become an increasingly important topic. One ...