Markov chain Monte Carlo (MCMC) sampling methods to determine optimal models, model resolution and model choice for Earth Science problems

Marine and Petroleum Geology

Volumn 26, Issue 4, 2009, Pages 525-535

  Gallagher, Kerry ^a   Charvin, Karl ^b   Nielsen, Soren ^c   Sambridge, Malcolm ^d   Stephenson, John ^e  

^a UNIVERSITÉ DE RENNES 1   (France)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c AARHUS UNIVERSITY   (Denmark)

^d AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^e BP EXPLORATION   (United Kingdom)

Author keywords

Inversion; Markov chain Monte Carlo; Optimisation

Indexed keywords

AGE DATUM; APATITE FISSION TRACKS; BAYES' THEOREMS; BAYESIAN APPROACHES; COMPLEX PROBLEMS; DIMENSIONAL PROBLEMS; HIGH-DIMENSIONAL PROBLEMS; INVERSION; MARKOV CHAIN MONTE CARLO; MAXIMUM POSTERIOR PROBABILITIES; MODEL CHOICES; MODEL INFERENCES; MODEL PARAMETERS; MODEL RESOLUTIONS; OPTIMAL MODELS; OPTIMISATION; POSTERIOR DISTRIBUTIONS; REVERSIBLE JUMPS; SAMPLING METHODS; SEA-LEVEL; SEDIMENT SUPPLIES; THERMAL HISTORY; UNCERTAINTY QUANTIFICATIONS;

BAYESIAN NETWORKS; GEOCHRONOLOGY; MARKOV PROCESSES; PHOSPHATE MINERALS; PROBABILITY DISTRIBUTIONS; SEAWATER; SECURITY OF DATA; STRATIGRAPHY; UNCERTAIN SYSTEMS; UNCERTAINTY ANALYSIS;

MONTE CARLO METHODS;

BAYESIAN ANALYSIS; DATA INVERSION; ESTIMATION METHOD; FISSION TRACK DATING; GEOCHRONOLOGY; MARKOV CHAIN; MONTE CARLO ANALYSIS; OPTIMIZATION; RESOLUTION; STRATIGRAPHY;

EID: 63549093042     PISSN: 02648172     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.marpetgeo.2009.01.003     Document Type: Article

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