A limited-memory acceleration strategy for MCMC sampling in hierarchical Bayesian calibration of hydrological models

Water Resources Research

Volumn 46, Issue 7, 2010, Pages

  Kuczera, George ^a   Kavetski, Dmitri ^a   Renard, Benjamin ^b   Thyer, Mark ^a  

^a UNIVERSITY OF NEWCASTLE   (Australia)

^b CENTRE DE LYON VILLEURBANNE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELERATION STRATEGIES; AS-SOILS; BAYESIAN; CONCEPTUAL MODEL; COUPLED NONLINEAR DIFFERENTIAL EQUATIONS; DATA UNCERTAINTY; GROUNDWATER STORAGE; HIERARCHICAL BAYESIAN; HIERARCHICAL REPRESENTATION; HYDROLOGIC MODELS; HYDROLOGICAL MODELS; HYDROLOGICAL SYSTEM; MARKOV CHAIN MONTE CARLO; MCMC METHOD; MCMC SAMPLING; MULTIBLOCKS; NUMERICAL SOLUTION; ORDERS OF MAGNITUDE; POSTERIOR DISTRIBUTIONS; SOURCES OF UNCERTAINTY; STRUCTURAL MODELS;

APPROXIMATION ALGORITHMS; BAYESIAN NETWORKS; CALIBRATION; CATCHMENTS; DIFFERENTIAL EQUATIONS; DIFFERENTIATION (CALCULUS); ERROR ANALYSIS; GEOLOGIC MODELS; GROUNDWATER; MARKOV PROCESSES; MATHEMATICAL MODELS; MODEL STRUCTURES; UNCERTAINTY ANALYSIS;

NONLINEAR EQUATIONS;

BAYESIAN ANALYSIS; CATCHMENT; ERROR ANALYSIS; HIERARCHICAL SYSTEM; HYDROLOGICAL MODELING; MARKOV CHAIN; MODEL VALIDATION; MONTE CARLO ANALYSIS; SAMPLING;

EID: 77955226431     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009WR008985     Document Type: Article

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