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Preview	Issue Date	Title	Author(s)
	2007	Bayesian total error analysis for hydrologic models: sensitivity to error models	Renard, B.; Thyer, M.; Kuczera, G.; Kavetski, D.; Oxley, L.; Kulasiri, D.; International Congress on Modelling and Simulation (17th : 2007 : Christchurch, New Zealand)
	2008	Bayesian Total Error Analysis for hydrologic models: Quantifying uncertainties arising from input, output and structural errors	Renard, B.; Kuczera, G.; Kavetski, D.; Thyer, M.; Franks, S.; Water Down Under 2008 (2008 : Adelaide, South Australia)
	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)
	2008	A high resolution spatio-temporal model for single storm events based on radar images	Qin, J.; Leonard, M.; Kuczera, G.; Thyer, M.; Metcalfe, A.; Lambert, M.; Lambert, M.; Water Down Under 2008 (2008 : Adelaide, South Australia)
	2002	Incorporating long-term climate variability into a short-timescale rainfall model using a Hidden State Markov Model	Frost, A.; Jennings, S.; Thyer, M.; Lambert, M.; Kuczera, G.
	2007	A general Bayesian framework for calibrating and evaluating stochastic models of annual multi-site hydrological data	Frost, A.; Thyer, M.; Srikanthan, R.; Kuczera, G.
	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.
	2000	Modeling long-term persistence in hydroclimatic time series using a hidden state Markov model	Thyer, M.; Kuczera, G.
	2004	Diagnosing a distributed hydrologic model for two high-elevation forested catchments based on detailed stand- and basin-scale data	Thyer, M.; Beckers, J.; Spittlehouse, D.; Alila, Y.; Winkler, R.
	2003	A hidden Markov model for modelling long-term persistence in multi-site rainfall time series 1. Model calibration using a Bayesian approach	Thyer, M.; Kuczera, G.