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20142026
most citedA geostatistical two field model that combines point observations and nested areal observations, and quantifies long-term spatial variability -- A case study of annual runoff predictions in the Voss area

8 citations · 25 across the 12 of their papers we have counts for

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stat.ML2022

Learning Physics between Digital Twins with Low-Fidelity Models and Physics-Informed Gaussian Processes

Michail Spitieris, Ingelin Steinsland

A digital twin is a computer model that represents an individual, for example, a component, a patient or a process. In many situations, we want to gain knowledge about an individua…

stat.ML2022★ 4 cited

Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors

Michail Spitieris, Ingelin Steinsland

We introduce a computational efficient data-driven framework suitable for quantifying the uncertainty in physical parameters and model formulation of computer models, represented b…