Guided Bayesian optimal experimental design

DOI10.1088/0266-5611/26/5/055008zbMath1187.86006OpenAlexW2001860888MaRDI QIDQ3565185

Michael D. Prange, H. A. Djikpesse, Mohamed Khodja

Publication date: 2 June 2010

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0266-5611/26/5/055008

zbMATH Keywords

inverse problemsseismologyoptimization and variational techniquesBayesian problems, characterization of Bayes procedures

Mathematics Subject Classification ID

Bayesian problems; characterization of Bayes procedures (62C10) Numerical optimization and variational techniques (65K10) Seismology (including tsunami modeling), earthquakes (86A15) Inverse problems in geophysics (86A22)

Related Items (6)

An Offline-Online Decomposition Method for Efficient Linear Bayesian Goal-Oriented Optimal Experimental Design: Application to Optimal Sensor Placement ⋮ Adaptive A-Optimal Experimental Design for Linear Dynamical Systems ⋮ Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems ⋮ A Fast and Scalable Computational Framework for Large-Scale High-Dimensional Bayesian Optimal Experimental Design ⋮ Sequentially optimized projections in x-ray imaging ^* ⋮ Edge-Promoting Adaptive Bayesian Experimental Design for X-ray Imaging

This page was built for publication: Guided Bayesian optimal experimental design