Bayesian inference of a lake water quality model by emulating its posterior density

Water Resources Research

Volumn 50, Issue 10, 2014, Pages 7626-7647

  Dietzel, A ^a   Reichert, P ^a  

^a SWISS FEDERAL INSTITUTE OF AQUATIC SCIENCE AND TECHNOLOGY   (Switzerland)

Author keywords

Gaussian stochastic process emulator; lake water quality model; model complexity; posterior distribution; structurally uncertain model

Indexed keywords

BAYESIAN NETWORKS; DISSOLVED OXYGEN; ERRORS; GAUSSIAN DISTRIBUTION; INFERENCE ENGINES; LAKES; MARKOV CHAINS; PLANKTON; STOCHASTIC SYSTEMS; UNCERTAINTY ANALYSIS; WATER QUALITY;

GAUSSIAN STOCHASTIC PROCESS; LAKE WATER QUALITY; MODEL COMPLEXITY; POSTERIOR DISTRIBUTIONS; UNCERTAIN MODELING;

STOCHASTIC MODELS;

BAYESIAN ANALYSIS; COMPUTER SIMULATION; COST-BENEFIT ANALYSIS; DATA SET; GAUSSIAN METHOD; HYDROLOGICAL MODELING; LAKE WATER; MARKOV CHAIN; NUMERICAL MODEL; PLANKTON; PREDICTION; WATER QUALITY;

EID: 84911378321     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2012WR013086     Document Type: Article

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