In this paper we introduce a new sparseness inducing prior which does not involve any (hyper)parameters that need to be adjusted or estimated. Although other applications are poss...
We revisit the problem of revising probabilistic beliefs using uncertain evidence, and report results on four major issues relating to this problem: How to specify uncertain evide...
This paper focuses on the practical value of using and selecting rail simulation models to find real solutions to real problems in constrained traffic corridors. It discusses issu...
This paper describes two systems constructed for the purpose of convertingpaper and filmdocumentstotheir numerical control or digital equivalent. One retools printing wiring board...
In this paper we survey the primary research, both theoretical and applied, in the area of Robust Optimization (RO). Our focus is on the computational attractiveness of RO approac...
Dimitris Bertsimas, David B. Brown, Constantine Ca...