Conformal prediction offers a robust, distribution-free framework that transforms point estimates into prediction sets or intervals by leveraging the concept of exchangeability. This framework helps ...
Researchers have developed an uncertainty quantification-based framework for predicting degradation trends in proton exchange ...
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 ...
Dr. Doostan's research team is focused on the development of novel theories and numerical tools to rigorously tackle several grand challenges associated with Uncertainty Quantification (UQ) and ...
Abstract: Scientists and engineers use computer simulations to study relationships between a physical model’s input parameters and its output predictions. However, thorough parameter studies---e.g., ...
A course in Uncertainty Quantification with an emphasis on formulating and computation to extract predictions and uncertainty in computational and simulation models (including when real data ...
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