Learning about physical parameters: the importance of model discrepancy
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Publication:2936501
DOI10.1088/0266-5611/30/11/114007zbMath1307.60042OpenAlexW2025909913WikidataQ61856173 ScholiaQ61856173MaRDI QIDQ2936501
Jenný Brynjarsdóttir, Anthony O'Hagan
Publication date: 17 December 2014
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/0266-5611/30/11/114007
Gaussian processextrapolationcalibrationuncertainty quantificationmodel discrepancymodel form errorparameter predictions
Inference from stochastic processes and prediction (62M20) Gaussian processes (60G15) Extrapolation to the limit, deferred corrections (65B05) Prediction theory (aspects of stochastic processes) (60G25) Numerical solution to inverse problems in abstract spaces (65J22)
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