Approaches to wavelet-based denoising (or signal enhancement) have so far relied on the assumption of normally distributed perturbations. To relax this assumption, which is often violated in practice, we derive a robust wavelet thresholding technique based on theMinimax Description Length principle. We rst determine the least favorable distribution in the "-contaminated normal family as the mem...

In numerous critical areas from across science and engineering, models and simulations share a common base of mathematical formulations and algorithms that are multi-physics, multi-scale and/or multi-domain in nature. The crucial demand for predictive computational results in these areas motivates the development of uncertainty quantification approaches for coupled models that feature multiple ...

Over the past decade, several acquisition functions have been proposed for kriging-based reliability analysis. Each of these can be used to identify an optimal sequence samples included in kriging model. However, no single function provides better performance over others all cases. Further, best-performing change at different iterations sequential sampling process. To address this problem, pape...

This study investigates relationships between privacy concerns, uncertainty reduction behaviors, and self-disclosure among online dating participants, drawing on uncertainty reduction theory and the warranting principle. The authors propose a conceptual model integrating privacy concerns, self-efficacy, and Internet experience with uncertainty reduction strategies and amount of self-disclosure ...