Approximate Bayesian computation using markov chain Monte Carlo simulation: DREAM(ABC)

Water Resources Research

Volumn 50, Issue 8, 2014, Pages 6767-6787

  Sadegh, Mojtaba ^a   Vrugt, Jasper A ^a,b,c  

^a University of California at Irvine   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; EVOLUTIONARY ALGORITHMS; FUNCTION EVALUATION; INTELLIGENT SYSTEMS; LARGE SCALE SYSTEMS; MARKOV PROCESSES; OPTIMIZATION;

ADAPTIVE METROPOLIS; APPROXIMATE BAYESIAN; COMPLEX SYSTEM MODELS; DIAGNOSTIC INFERENCES; DIFFERENTIAL EVOLUTION; LIKELIHOOD FUNCTIONS; MARKOV CHAIN MONTE CARLO SIMULATION; SUMMARY STATISTIC;

MONTE CARLO METHODS;

EID: 84906295211     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2014WR015386     Document Type: Article

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