3 papers
stat.ME2026
Non-Parametric Model Calibration with Stochastic Control Parameters
Akshay Prasadan, Samopriya Basu, Faezeh Yazdi +2
We present a method for calibrating a computer model using non-parametric techniques where the inputs are stochastic but include calibration parameters whose distributions are unkn…
stat.AP2026
GPU-accelerated Bayesian inference for block-cave geometry recovery via muon tomography
Miguel Biron-Lattes, Patrick Belliveau, Faezeh Yazdi +4
We describe a Bayesian framework for the inverse problem of geometry recovery of block caving via muon tomography. We work with a low dimensional surface-based representation of th…
stat.ME2024
Deep Gaussian Process Emulation and Uncertainty Quantification for Large Computer Experiments
Faezeh Yazdi, Derek Bingham, Daniel Williamson
Computer models are used as a way to explore complex physical systems. Stationary Gaussian process emulators, with their accompanying uncertainty quantification, are popular surrog…