Parameter tuning for a multi-fidelity dynamical model of the magnetosphere

DOI10.1214/13-AOAS651zbMath1283.62243arXiv1303.6992OpenAlexW3102650820MaRDI QIDQ386717

Michael Wiltberger, William Kleiber, C. Shane Reese, Matthew J. Heaton, Stephan R. Sain, Derek R. Bingham

Publication date: 10 December 2013

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1303.6992

zbMATH Keywords

inverse problemcomputer experimentsuncertainty quantificationLorenz '96expected improvementsgeomagnetic stormsmodel fidelitysequential designs

Mathematics Subject Classification ID

Applications of statistics to physics (62P35) Geostatistics (86A32) Meteorology and atmospheric physics (86A10) Sequential statistical design (62L05)

Related Items (5)

A multi-resolution model for non-Gaussian random fields on a sphere with application to ionospheric electrostatic potentials ⋮ Practical error bounds for a non-intrusive bi-fidelity approach to parametric/stochastic model reduction ⋮ Dimension-Reduced Modeling of Spatio-Temporal Processes ⋮ Representing Model Discrepancy in Bound-to-Bound Data Collaboration ⋮ Bi-fidelity reduced polynomial chaos expansion for uncertainty quantification

Uses Software

• EGO

Cites Work

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• Inverse Problem Theory and Methods for Model Parameter Estimation
• Predicting the output from a complex computer code when fast approximations are available
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