2 papers
eess.SY2026
VIBES -- A Two-Stage Scalable Bayesian Uncertainty Quantification Framework: Application to a Biomass Valorization Process
Poulomi Das, Angan Mukherjee, Debangsu Bhattacharyya
This paper proposes Variational Inference-based Bayesian Estimation with Sobol screening (VIBES), a two-stage scalable framework for Bayesian uncertainty quantification (UQ). The p…
math.OC2024
Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements
Jialu Wang, Zedong Peng, Ryan Hughes +3
Model-based design of experiments (MBDoE) is a powerful framework for selecting and calibrating science-based mathematical models from data. This work extends popular MBDoE workflo…