A fast approximation for seismic inverse modeling: adaptive spatial resampling

DOI10.1007/S11004-017-9693-YzbMath1406.86015OpenAlexW2732818234MaRDI QIDQ1719818

Tapan Mukerji, Cheolkyun Jeong, Grégoire Mariethoz

Publication date: 12 February 2019

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

Full work available at URL: https://doi.org/10.1007/s11004-017-9693-y

zbMATH Keywords

MCMCMetropolis samplingiterative spatial sampling

Mathematics Subject Classification ID

Seismology (including tsunami modeling), earthquakes (86A15) Inverse problems in geophysics (86A22) Geostatistics (86A32)

Cites Work

• Unnamed Item
• On adaptive Metropolis-Hastings methods
• Representing spatial uncertainty using distances and kernels
• An introduction to MCMC for machine learning
• Inverse Problem Theory and Methods for Model Parameter Estimation
• Equation of State Calculations by Fast Computing Machines
• An adaptive Metropolis algorithm

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