We develop a simple model of managing a system subject to pollution damage under risk of an abrupt and random jump in … uncertainty. The results, that imply prudent behavior due to uncertainty, are compared with the ambiguous outcomes reported in the …

This paper discusses methods to quantify risk and uncertainty in macroeconomic forecasts. Both, parametric and non … macroeconometric model of the Bundesbank for Germany. Forecast intervals that integrate judgement on risk and uncertainty are obtained. …

combinatorial optimization and scheduling theory concerning robustness and other similar techniques that deal with worst case … optimization under uncertainty and non-accuracy of problem data. …

focuses on what has been published during the last ten years in the area of combinatorial optimization and scheduling theory … concerning robustness and other similar techniques dealing with worst case optimization under uncertainty and non-accuracy of …

, principally, for the mean-risk portfolio selection problem. Each risk constraint induces an uncertainty set of coefficients, which …Linear optimization problems are investigated whose parameters are uncertain. We apply coherent distortion risk … the coefficients, the uncertainty set is a convex polytope that can be exactly calculated. If the sample is i.i.d. from a …