All Stories

  1. Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity
  2. Pitfalls and improvements in the joint inference of heteroscedasticity and autocorrelation in hydrological model calibration
  3. Further developments of a transient Poisson-cluster model for rainfall
  4. Two-component mixtures of normal, gamma, and Gumbel distributions for hydrological applications
  5. A new rainfall model based on the Neyman-Scott process using cubic copulas
  6. Bayesian copula selection