Bayesian inverse problem and optimization with iterative spatial resampling

Water Resources Research

Volumn 46, Issue 11, 2010, Pages

  Mariethoz, Grégoire ^a,b,c   Renard, Philippe ^a   Caers, Jef ^b  

^a UNIVERSITY OF NEUCHÂTEL   (Switzerland)

^b STANFORD UNIVERSITY   (United States)

^c UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; CONDITIONAL SIMULATIONS; DATA TYPE; DEPENDENT VARIABLES; DISCRETE VARIABLES; FORWARD MODELS; GAUSSIANS; GEOSTATISTICAL; GEOSTATISTICAL SIMULATION METHODS; HYDRAULIC PROPERTIES; ILL POSED; IMPORTANCE SAMPLING; LIKELIHOOD FUNCTIONS; MARKOV CHAIN MONTE CARLO; MODEL PARAMETERS; MULTIPLE-POINT STATISTICS; POSTERIOR DISTRIBUTIONS; PRIOR DISTRIBUTION; RESAMPLING; SPATIAL MODELS; STOPPING CRITERIA;

BAYESIAN NETWORKS; HYDRAULICS; INVERSE PROBLEMS; MARKOV PROCESSES; MONTE CARLO METHODS; OPTIMIZATION; SAMPLING; SECURITY OF DATA;

COMPUTER SIMULATION;

BAYESIAN ANALYSIS; CALIBRATION; DISCRETE CHOICE ANALYSIS; GAUSSIAN METHOD; GEOSTATISTICS; HYDRAULIC CONDUCTIVITY; MARKOV CHAIN; MEASUREMENT METHOD; MONTE CARLO ANALYSIS; NUMERICAL MODEL; OPTIMIZATION; PERTURBATION; POROSITY; RESOLUTION; SAMPLING; SPATIAL ANALYSIS; STOCHASTICITY;

EID: 78649499201     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010WR009274     Document Type: Article

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