PROBABILISTIC QUANTIFICATION OF HAZARDS: A METHODOLOGY USING SMALL ENSEMBLES OF PHYSICS-BASED SIMULATIONS AND STATISTICAL SURROGATES

DOI10.1615/Int.J.UncertaintyQuantification.2015011451zbMath1498.86017OpenAlexW2006518324MaRDI QIDQ5052249

Robert L. Wolpert, E. Bruce Pitman, Elaine T. Spiller, Abani Patra, M. J. Bayarri, Eliza S. Calder, James O. Berger

Publication date: 24 November 2022

Published in: International Journal for Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1615/int.j.uncertaintyquantification.2015011451

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Seismology (including tsunami modeling), earthquakes (86A15) Geostatistics (86A32)

Related Items (2)

The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models ⋮ Novel statistical emulator construction for volcanic ash transport model Ash3d with physically motivated measures

This page was built for publication: PROBABILISTIC QUANTIFICATION OF HAZARDS: A METHODOLOGY USING SMALL ENSEMBLES OF PHYSICS-BASED SIMULATIONS AND STATISTICAL SURROGATES