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 mine monitoring via muon tomography
Miguel Biron-Lattes, Patrick Belliveau, Faezeh Yazdi +4
We describe a Bayesian framework for an inverse problem arising from monitoring block caving operations via muon tomography. We work with a low dimensional surface-based representa…
stat.ME2026
Continuity of the Solution of a Non-Parametric Bayesian Statistical Calibration Procedure
Akshay Prasadan, Donald Estep, Derek Bingham
Recent work has developed a non-parametric Bayesian approach to the calibration of a computer model, which abstractly amounts to the inversion of a pushforward of stochastic input…