Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

The newest journal from the Society for Industrial and Applied Mathematics, SIAM/ASA Journal on Uncertainty Quantification (JUQ), launched today with its first seven papers publishing online to Volume ...

Uncertainty quantification (UQ) is increasingly critical for modelling complex systems in which input parameters or environmental conditions vary unpredictably. Polynomial chaos methods offer a ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

To bridge the gap between projections of future sea-level rise and the need to prepare for it, a research team developed a method that consolidates climate models and the range of opinions that ...

Inverse problems, mathematical modeling of inhomogeneous materials, computational methods, uncertainty quantification. My research focuses on estimating the mechanical properties (e.g. stiffness) of ...

This paper is devoted to the parameterization of correlations in the Vasicek credit portfolio model. First, we analytically approximate standard errors for value-at-risk and expected shortfall based ...

The rise of wearable technology has enabled unprecedented continuous data collection, opening new frontiers in health monitoring, activity recognition, and personalized medicine. This abundant sensor ...