A comparison between Gauss-Newton and Markov-chain Monte Carlo - Based methods for inverting spectral induced-polarization data for Cole-Cole parameters

Geophysics

Volumn 73, Issue 6, 2008, Pages

  Chen, Jinsong ^a   Kemna, Andreas ^b,c   Hubbard, Susan S ^a  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b FORSCHUNGSZENTRUM JÜLICH   (Germany)

^c UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; DISTRIBUTION FUNCTIONS; GAUSSIAN DISTRIBUTION; ITERATIVE METHODS; MARKOV PROCESSES; OPTIMAL SYSTEMS; PARAMETER ESTIMATION; POLARIZATION; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS;

COLE-COLE PARAMETERS; DETERMINISTIC METHODS; MARGINAL PROBABILITY DISTRIBUTION FUNCTIONS; MARKOV CHAIN MONTE CARLO; OBJECTIVE FUNCTIONS; SPECTRAL INDUCED POLARIZATION; STOCHASTIC METHODS; UNCERTAINTY INFORMATIONS;

MONTE CARLO METHODS;

BAYESIAN ANALYSIS; GAUSSIAN METHOD; INVERSE ANALYSIS; MARKOV CHAIN; MONTE CARLO ANALYSIS; PARAMETERIZATION; PROBABILITY DENSITY FUNCTION; SAMPLING; STOCHASTICITY;

EID: 57149121187     PISSN: 00168033     EISSN: None     Source Type: Journal    
DOI: 10.1190/1.2976115     Document Type: Article

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