Related references
Note: Only part of the references are listed.Evaluating the discrimination ability of proper multi-variate scoring rules
C. Alexander et al.
ANNALS OF OPERATIONS RESEARCH (2022)
Predictive Inference Based on Markov Chain Monte Carlo Output
Fabian Krueger et al.
INTERNATIONAL STATISTICAL REVIEW (2021)
Future streamflow regime changes in the United States: assessment using functional classification
Manuela Brunner et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2020)
Benefits of Explicit Treatment of Zero Flows in Probabilistic Hydrological Modeling of Ephemeral Catchments
David McInerney et al.
WATER RESOURCES RESEARCH (2019)
A likelihood framework for deterministic hydrological models and the importance of non-stationary autocorrelation
Lorenz Ammann et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2019)
A method for uncertainty constraint of catchment discharge and phosphorus load estimates
Michael J. Hollaway et al.
HYDROLOGICAL PROCESSES (2018)
Embracing equifinality with efficiency: Limits of Acceptability sampling using the DREAM((LOA)) algorithm
Jasper A. Vrugt et al.
JOURNAL OF HYDROLOGY (2018)
Signature-Domain Calibration of Hydrological Models Using Approximate Bayesian Computation: Empirical Analysis of Fundamental Properties
Fabrizio Fenicia et al.
WATER RESOURCES RESEARCH (2018)
Forecaster's Dilemma: Extreme Events and Forecast Evaluation
Sebastian Lerch et al.
STATISTICAL SCIENCE (2017)
Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors
David McInerney et al.
WATER RESOURCES RESEARCH (2017)
Sworn testimony of the model evidence: Gaussian Mixture Importance (GAME) sampling
Elena Volpi et al.
WATER RESOURCES RESEARCH (2017)
The CAMELS data set: catchment attributes and meteorology for large-sample studies
Nans Addor et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2017)
Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation
Jasper A. Vrugt
ENVIRONMENTAL MODELLING & SOFTWARE (2016)
Error reduction and representation in stages (ERRIS) in hydrological modelling for ensemble streamflow forecasting
Ming Li et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2016)
Rating curve estimation under epistemic uncertainty
H. K. McMillan et al.
HYDROLOGICAL PROCESSES (2015)
Modeling residual hydrologic errors with Bayesian inference
Tyler Smith et al.
JOURNAL OF HYDROLOGY (2015)
Expanded Decision-Scaling Framework to Select Robust Long-Term Water-System Plans under Hydroclimatic Uncertainties
Scott Steinschneider et al.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT (2015)
The stationarity paradigm revisited: Hypothesis testing using diagnostics, summary metrics, and DREAM(ABC)
Mojtaba Sadegh et al.
WATER RESOURCES RESEARCH (2015)
Expanded Decision-Scaling Framework to Select Robust Long-Term Water-System Plans under Hydroclimatic Uncertainties
Scott Steinschneider et al.
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT (2015)
Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance
A. J. Newman et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2015)
Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity
Guillaume Evin et al.
WATER RESOURCES RESEARCH (2014)
Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration
Guillaume Evin et al.
WATER RESOURCES RESEARCH (2013)
Toward diagnostic model calibration and evaluation: Approximate Bayesian computation
Jasper A. Vrugt et al.
WATER RESOURCES RESEARCH (2013)
Bridging the gap between GLUE and formal statistical approaches: approximate Bayesian computation
M. Sadegh et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2013)
Analysis of regression confidence intervals and Bayesian credible intervals for uncertainty quantification
Dan Lu et al.
WATER RESOURCES RESEARCH (2012)
High-dimensional posterior exploration of hydrologic models using multiple-try DREAM(ZS) and high-performance computing
Eric Laloy et al.
WATER RESOURCES RESEARCH (2012)
Comparing Density Forecasts Using Threshold- and Quantile-Weighted Scoring Rules
Tilmann Gneiting et al.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS (2011)
Toward a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation
Benjamin Renard et al.
WATER RESOURCES RESEARCH (2011)
DREAM((D)): an adaptive Markov Chain Monte Carlo simulation algorithm to solve discrete, noncontinuous, and combinatorial posterior parameter estimation problems
J. A. Vrugt et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2011)
A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors
Gerrit Schoups et al.
WATER RESOURCES RESEARCH (2010)
Development of a formal likelihood function for improved Bayesian inference of ephemeral catchments
Tyler Smith et al.
WATER RESOURCES RESEARCH (2010)
Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
Jasper A. Vrugt et al.
INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION (2009)
Analyzing input and structural uncertainty of nonlinear dynamic models with stochastic, time-dependent parameters
Peter Reichert et al.
WATER RESOURCES RESEARCH (2009)
Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis
Mark Thyer et al.
WATER RESOURCES RESEARCH (2009)
Informal likelihood measures in model assessment: Theoretic development and investigation
Paul Smith et al.
ADVANCES IN WATER RESOURCES (2008)
Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation
Jasper A. Vrugt et al.
WATER RESOURCES RESEARCH (2008)
Bayesian methods in hydrologic modeling: A study of recent advancements in Markov chain Monte Carlo techniques
Tyler Jon Smith et al.
WATER RESOURCES RESEARCH (2008)
The geometry of proper scoring rules
A. P. Dawid
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS (2007)
Strictly proper scoring rules, prediction, and estimation
Tilmann Gneiting et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2007)
A Markov Chain Monte Carlo version of the genetic algorithm differential evolution: easy Bayesian computing for real parameter spaces
Cajo J. F. Ter Braak
STATISTICS AND COMPUTING (2006)
Partially adaptive robust estimation of regression models and applications
JV Hansen et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2006)
A manifesto for the equifinality thesis
K Beven
JOURNAL OF HYDROLOGY (2006)
Which potential evapotranspiration input for a lumped rainfall-runoff model?: Part 2 -: Towards a simple and efficient potential evapotranspiration model for rainfall-runoff modelling
L Oudin et al.
JOURNAL OF HYDROLOGY (2005)
Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
K Beven et al.
JOURNAL OF HYDROLOGY (2001)
A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall-runoff modeling
BC Bates et al.
WATER RESOURCES RESEARCH (2001)
Share Paper
