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Maximum likelihood Bayesian averaging of uncertain model predictions
S. P. Neuman
Hydrology and Water Resources
Research output
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Contribution to journal
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Article
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peer-review
374
Scopus citations
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Dive into the research topics of 'Maximum likelihood Bayesian averaging of uncertain model predictions'. Together they form a unique fingerprint.
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Keyphrases
Maximum Likelihood
100%
Model Prediction
100%
Model Uncertainty
100%
Bayesian Averaging
100%
Bayesian Model Averaging
66%
Conceptual Mathematical Model
66%
Predictive Uncertainty
33%
Monitoring Data
33%
Stochastic Model
33%
Prediction Uncertainty
33%
Mathematical Description
33%
Subsurface Flow
33%
Comprehensive Strategy
33%
Site Characterization
33%
Example-based
33%
Hydrological Forecasting
33%
Deterministic Model
33%
Data Prediction
33%
Subsurface Transport
33%
Statistical Bias
33%
Multiple Interpretations
33%
Hydrological Analysis
33%
Optimum Combination
33%
Site Monitoring
33%
Formal Elements
33%
Engineering
Maximum Likelihood
100%
Model Prediction
100%
Mathematical Model
66%
Bayesian Model
66%
Subsurface
33%
Stochastic Model
33%
Joints (Structural Components)
33%
Real Data
33%
Monitoring Data
33%
Averaging Method
33%
Mathematical Description
33%
Scientific Knowledge
33%
Mathematics
Maximum Likelihood
100%
Bayesian
100%
Mathematical Modeling
66%
Bayesian Model Averaging
66%
Real Data
33%
Stochastic Model
33%
Statistical Bias
33%
Deterministic Model
33%
Subsurface
33%
Site Characterization
33%
Scientific Knowledge
33%
Computer Science
maximum-likelihood
100%
Model Prediction
100%
Bayesian Model
66%
Monitoring Data
33%
Stochastic Model
33%
Scientific Knowledge
33%
Deterministic Model
33%
Economics, Econometrics and Finance
Bayesian
100%
Statistical Bias
33%