Uncertainty assessment over any volume without simulation: revisiting multi-Gaussian kriging

DOI10.1007/S11004-020-09907-9zbMath1472.86029OpenAlexW3118479243MaRDI QIDQ2238124

Álvaro I. Riquelme, Julián M. Ortiz

Publication date: 29 October 2021

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-020-09907-9

zbMATH Keywords

importance samplingsimulationsgeostatisticsmulti-Gaussian model

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics in engineering and industry; control charts (62P30) Geostatistics (86A32)

Uses Software

• GSLIB

Cites Work

• Revisiting multi-Gaussian kriging with the Nataf transformation or the Bayes' rule for the estimation of spatial distributions
• Conditioning simulations of Gaussian random fields by ordinary kriging
• Simple and ordinary multigaussian kriging for estimating recoverable reserves
• On some consistency conditions for geostatistical change-of-support models
• Geostatistics
• Safe and Effective Importance Sampling

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