The dollar-a-day method, applied in monitoring the UN’s development goals against poverty, provides no confidence interval for official figures of global poverty reduction, a practice that does not allow statistical testing. Using Monte Carlo micro-simulations we construct intervals reflect error introduced by process determining International Poverty Line, as well uncertainty involved Purchasi...

Forecasting is an indispensable element of operational research (OR) and important aid to planning. The accurate estimation the forecast uncertainty facilitates several operations management activities, predominantly in supporting decisions inventory supply chain effectively setting safety stocks. In this paper, we introduce a feature-based framework, which links relationship between time serie...

Accurate uncertainty estimation is a critical need for the medical imaging community. A variety of methods have been proposed, all direct extensions classification estimations techniques. The independent pixel-wise estimates, often based on probabilistic interpretation neural networks, do not take into account anatomical prior knowledge and consequently provide sub-optimal results to many segme...

Link and node trustworthiness are important metrics in wireless ad hoc networks. Many existing wireless ad hoc network routing algorithms assume the availability of precise trustworthiness information. This, however, is an unrealistic assumption given the dynamics of wireless ad hoc networks. Therefore, a realistic method is needed to evaluate trustworthiness by mitigating uncertainty in the es...