Using a parallelized MCMC algorithm in R to identify appropriate likelihood functions for SWAT
Bayesian MCMC analysis has yet to be successfully applied to the popular SWAT model. An R implementation of DREAM accommodates SWAT's reading of input files. Open source script allows for likelihood function development to advance modeling.
r likelihood function swat bayesian mcmc analysis parallel processing uncertainty analysis parameter