Search ESS
-
May 23, 2013 11:33 GMT
-
Apr 24, 2013 4:41 GMT
metropolis algorithm
Corruption of accuracy and efficiency of Markov chain Monte Carlo simulation by inaccurate numerical implementation of conceptual hydrologic models
(2010). Corruption of accuracy and efficiency of Markov chain Monte Carlo simulation by inaccurate numerical implementation of conceptual hydrologic models.
Water Resources Research. 46,
Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?
(2009). Equifinality of formal (DREAM) and informal (GLUE) Bayesian approaches in hydrologic modeling?.
Stochastic Environmental Research and Risk Assessment. 23, 1011-1026.
Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation
(2008). Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation.
Water Resources Research. 44,
Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
(2009). Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling.
International Journal of Nonlinear Sciences and Numerical Simulation. 10, 273-290.
Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging
(2007). Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging.
Water Resources Research. 43,