Non-linearity in Bayesian 1-D magnetotelluric inversion

Geophysical Journal International

Volumn 185, Issue 2, 2011, Pages 663-675

  Guo, Rongwen ^a,b   Dosso, Stan E ^b   Liu, Jianxin ^a   Dettmer, Jan ^b   Tong, Xiaozhong ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Inverse theory; Magnetotelluric; Probability distributions

Indexed keywords

APPROPRIATE MODELS; BAYESIAN; BAYESIAN APPROACHES; BAYESIAN FORMULATION; BAYESIAN INFORMATION CRITERION; COMPONENT PARAMETERS; CORRELATED PARAMETERS; DATA VARIANCE; EFFICIENT SAMPLING; GLOBAL SAMPLING; HIERARCHICAL BAYESIAN; HYBRID ALGORITHMS; HYPERPARAMETERS; INVERSE THEORY; INVERSION RESULTS; MAGNETOTELLURIC; METROPOLIS-HASTINGS SAMPLINGS; MODEL PARAMETERS; MULTI-MODAL; NON-LINEAR; NON-LINEARITY; NONLINEAR UNCERTAINTIES; NUMBER OF LAYERS; NUMERICAL INTEGRATIONS; NUMERICAL OPTIMIZATIONS; PARAMETER ESTIMATE; PARAMETRIZATIONS; POSTERIOR PROBABILITY; PRIOR INFORMATION; RESOLVING POWER; SAMPLING TEMPERATURE; SIMPLE STRUCTURES; SYNTHETIC TESTS;

ADAPTIVE ALGORITHMS; BAYESIAN NETWORKS; INTEGRATION; INVERSE PROBLEMS; LINEARIZATION; MAGNETOTELLURICS; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; UNCERTAINTY ANALYSIS;

PROBABILITY DISTRIBUTIONS;

ALGORITHM; BAYESIAN ANALYSIS; INVERSE ANALYSIS; MAGNETOTELLURIC METHOD; NUMERICAL METHOD; OPTIMIZATION; PROBABILITY DENSITY FUNCTION;

EID: 79954586774     PISSN: 0956540X     EISSN: 1365246X     Source Type: Journal    
DOI: 10.1111/j.1365-246X.2011.04996.x     Document Type: Article

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