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Today, claims for social justice seem to divide into two types: claims for the redistribution of resources and claims for the recognition of cultural difference. Increasingly, these two kind of claims are polarized against one another. As a result, we are asked to choose between class politics and identity politics, social democracy and multiculturalism, redistribution and recognition. These, h...

In linear models and multivariate normal situations, prior information in linear inequality form may be encountered, or linear inequality hypotheses may be subjected to statistical tests. R package ic.infer has been developed to support inequality-constrained estimation and testing for such situations. This article gives an overview of the principles underlying inequality-constrained inference ...

Linear constraints occur naturally in many reasoning problems and the information that they represent is often uncertain. There is a difficulty in applying AI uncertainty formalisms to this situation, as their representation of the underlying logic, either as a mutually exclusive and exhaustive set of possibilities, or with a propositional or a predicate logic, is inappropriate (or at least unh...

Wolfson for their helpful comments and suggestions. This paper represents the views of the authors and does not necessarily reflect the opinions of Statistics Canada.

Linear Programming deals with the problem of optimizing a linear objective function subject to linear equality and inequality constraints on the decision variables. Linear programming has many practical applications (in transportation, production planning, ...). It is also the building block for combinatorial optimization. One aspect of linear programming which is often forgotten is the fact th...