Comparison of sparse-grid geometric and random sampling methods in nonlinear inverse solution uncertainty estimation

Geophysical Prospecting

Volumn 61, Issue 1, 2013, Pages 28-41

  Tompkins, Michael J ^a   Fernández Martínez, Juan Luis ^b   Fernández Muñiz, Zulima ^b  

^a SCHLUMBERGER   (United States)

^b UNIVERSITY OF OVIEDO   (Spain)

Author keywords

Sparse grid; Stochastic; Uncertainty

Indexed keywords

BAYESIAN INFERENCE; BAYESIAN SAMPLING; ELECTROMAGNETIC PROBLEMS; EQUIVALENT MODEL; HIGH DIMENSIONS; HIGHER-DIMENSIONAL PROBLEMS; INTERPOLANTS; INVERSE SOLUTION; MODEL POSTERIORS; MODEL SPACES; OPTIMAL SOLUTIONS; PARAMETER REDUCTION; POLYNOMIAL INTERPOLATION; POSTERIOR DISTRIBUTIONS; RANDOM SAMPLING METHOD; RESAMPLING; SAMPLING EFFICIENCY; SAMPLING METHOD; SAMPLING PROBLEMS; SPARSE-GRID; STOCHASTIC; UNCERTAINTY; UNCERTAINTY ESTIMATION;

BAYESIAN NETWORKS; EFFICIENCY; ESTIMATION; INFERENCE ENGINES; INTERPOLATION; INVERSE PROBLEMS; POLYNOMIALS; RANDOM PROCESSES; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

SAMPLING;

ELECTROMAGNETIC METHOD; ESTIMATION METHOD; GEOMETRY; INVERSE PROBLEM; SAMPLING; STOCHASTICITY; UNCERTAINTY ANALYSIS;

EID: 84871333844     PISSN: 00168025     EISSN: 13652478     Source Type: Journal    
DOI: 10.1111/j.1365-2478.2012.01057.x     Document Type: Article

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