Hydrological model output space and prediction uncertainty

Artificial intelligence methods: Choice of algorithms, their complexity, and appropriateness within the context of hydrology and water resources. (Invited)

Effect of data uncertainty on parameter estimation and model complexity using high-density regions of bootstrapped likelihood and Bayesian measures of complexity and fit