140 citations · 358 across the 7 of their papers we have counts for
4 papers · 1 filter
History matching with probabilistic emulators and active learning
Alfredo Garbuno-Inigo, F. Alejandro DiazDelaO, Konstantin M. Zuev
The scientific understanding of real-world processes has dramatically improved over the years through computer simulations. Such simulators represent complex mathematical models th…
Calibrate, Emulate, Sample
Emmet Cleary, Alfredo Garbuno-Inigo, Shiwei Lan +2
Many parameter estimation problems arising in applications are best cast in the framework of Bayesian inversion. This allows not only for an estimate of the parameters, but also fo…
Bayesian updating and model class selection with Subset Simulation
F. A. DiazDelaO, A. Garbuno-Inigo, S. K. Au +1
Identifying the parameters of a model and rating competitive models based on measured data has been among the most important but challenging topics in modern science and engineerin…
Transitional annealed adaptive slice sampling for Gaussian process hyper-parameter estimation
A. Garbuno-Inigo, F. A. DiazDelaO, K. M. Zuev
Surrogate models have become ubiquitous in science and engineering for their capability of emulating expensive computer codes, necessary to model and investigate complex phenomena.…