Skip navigation
Skip navigation

Using a parallelized MCMC algorithm in R to identify appropriate likelihood functions for SWAT

Joseph, J.F.; Guillaume, Joseph


Markov Chain Monte Carlo (MCMC) algorithms allow the analysis of parameter uncertainty. This analysis can inform the choice of appropriate likelihood functions, thereby advancing hydrologic modeling with improved parameter and quantity estimates and more

CollectionsANU Research Publications
Date published: 2013
Type: Journal article
Source: Environmental Modelling and Software
DOI: 10.1016/j.envsoft.2013.03.012


File Description SizeFormat Image
01_Joseph_Using_a_parallelized_MCMC_2013.pdf2.07 MBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator