Adelaide Research & Scholarship: Search

Search

Results 11-20 of 27 (Search time: 0.005 seconds).

Item hits:

Preview	Issue Date	Title	Author(s)
	2007	Bayesian total error analysis for hydrologic models: Markov chain Monte Carlo methods to evaluate the posterior distribution	Kuczera, G.; Kavetski, D.; Renard, B.; Thyer, M.; Oxley, L.; Kulasiri, D.; International Congress on Modelling and Simulation (17th : 2007 : Christchurch, New Zealand)
	2021	The MuTHRE Model for High Quality Sub-seasonal Streamflow Forecasts	McInerney, D.; Thyer, M.; Kavetski, D.; Laugesen, R.; Tuteja, N.; Kuczera, G.; Hydrology and Water Resources Symposium (HWRS) (31 Aug 2021 - 1 Sep 2021 : virtual online)
	2021	Probabilistic streamflow prediction and uncertainty estimation in ephemeral catchments	Kavetski, D.; McInerney, D.; Thyer, M.; Lerat, J.; Kuczera, G.; Hydrology and Water Resources Symposium (HWRS) (31 Aug 2021 - 1 Sep 2021 : virtual online)
	2018	Evaluating post-processing approaches for monthly and seasonal streamflow forecasts	Woldemeskel, F.; McInerney, D.; Lerat, J.; Thyer, M.; Kavetski, D.; Shin, D.; Tuteja, N.; Kuczera, G.
	2019	Benefits of explicit treatment of zero flows in probabilistic hydrological modelling of ephemeral catchments	McInerney, D.; Kavetski, D.; Thyer, M.; Lerat, J.; Kuczera, G.
	2014	Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity	Evin, G.; Thyer, M.; Kavetski, D.; McInerney, D.; Kuczera, G.
	2013	Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration	Evin, G.; Kavetski, D.; Thyer, M.; Kuczera, G.
	2010	There are no hydrological monsters, just models and observations with large uncertainties!	Kuczera, G.; Renard, B.; Thyer, M.; Kavetski, D.
	2010	A limited memory acceleration strategy for MCMC sampling in hierarchical Bayesian calibration of hydrological models	Kuczera, G.; Kavetski, D.; Renard, B.; Thyer, M.
	2009	Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis	Thyer, M.; Renard, B.; Kavetski, D.; Kuczera, G.; Franks, S.; Srikanthan, S.