Computational models of the human head are promising tools for estimating impact-induced response brain, and thus play an important role in prediction traumatic brain injury. Modern biofidelic model simulations associated with very high computational cost, high-dimensional inputs outputs, which limits applicability traditional uncertainty quantification (UQ) methods on these systems. In this st...

Formulating accurate and robust classification strategies is a key challenge of developing diagnostic antibody tests. Methods that do not explicitly account for disease prevalence uncertainty therein can lead to significant errors. We present novel method leverages optimal decision theory address this problem. As preliminary step, we develop an analysis uses assumed conditional probability mode...

Hoarding is characterized by the persistent difficulty discarding or parting with possessions, regardless of the value others may attribute to these possessions. Hoarding resembles obsessive compulsive disorder (OCD) in several ways. The avoidance of and difficulties with discarding seem to be driven by fears of losing something significant or being responsible for a bad outcome. These could be...

this paper investigates the relationship between inflation and growth uncertainty in iran for the period of 1988-2008 by using quarterly data. we employ generalized autoregressive conditional heteroscedasticity in mean (garch-m) model to estimate time-varying conditional residual variance of growth, as a standard measures of growth uncertainty. the empirical evidence shows that growth uncertain...