George A. Kuczera
Water Science and Technology · 2002–2017
A researcher in the Science corpus: 11 papers; trusts 24 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Water Science and Technology — 47 citations into it; #19 of 1,711 by trust here, #140 by citations
- Global and Planetary Change — 39 citations into it; #189 of 10,225 by trust here, #830 by citations
- Environmental Engineering — 37 citations into it; #2,800 of 5,479 by trust here, #4,694 by citations
- Artificial Intelligence — 31 citations into it
- Statistics and Probability — 17 citations into it
- Ocean Engineering — 16 citations into it; #1,560 of 3,193 by trust here, #1,422 by citations
- Economics and Econometrics — 7 citations into it
- Atmospheric Science — 5 citations into it
Whom George A. Kuczera trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dmitri Kavetski
- Qingyun Duan
- Keith Beven
- Soroosh Sorooshian
- Eugene Demidenko
- A. Ohmura
- S. Franks
- Mark A. Thyer
- A. Binley
- Vinod Kumar Gupta
Who trusts George A. Kuczera overall
- Jasper A. Vrugt
- Dmitri Kavetski
- Keith Beven
- Benjamin Renard
- G. Schoups
- M. Clark
- Mark A. Thyer
- Hoshin V. Gupta
- N. Bulygina
- Mojtaba Sadegh
Papers from George A. Kuczera's perspective
Ordered by how strongly the researchers George A. Kuczera trusts endorse each paper. Same corpus, a different order for every researcher.
- The future of distributed models: model calibration and uncertainty prediction.
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- Bayesian calibration of computer models
- An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
- Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis
- Multi-model ensemble hydrologic prediction using Bayesian model averaging
- Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors
- A manifesto for the equifinality thesis
- Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
- Dual state-parameter estimation of hydrological models using ensemble Kalman filter
Their papers
- Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors (2017) — 142 citations
- Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity (2014) — 156 citations
- Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions (2014) — 596 citations
- Design Flood Estimation in Ungauged Catchments: A Comparison Between the Probabilistic Rational Method and Quantile Regression Technique for NSW (2011) — 58 citations
- Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors (2010) — 825 citations
- Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis (2009) — 394 citations
- Model smoothing strategies to remove microscale discontinuities and spurious secondary optima in objective functions in hydrological calibration (2007) — 111 citations
- Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory (2006) — 644 citations
- Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters (2006) — 378 citations
- Bayesian analysis of input uncertainty in hydrological modeling: 2. Application (2006) — 467 citations
- An evaluation of the benefits of source control measures at the regional scale (2002) — 133 citations