Bayesian methods in hydrologic modeling: A study of recent advancements in Markov chain Monte Carlo techniques

Bayesian methods, and particularly Markov chain Monte Carlo (MCMC) techniques, are extremely useful in uncertainty assessment and parameter estimation of hydrologic models. However, MCMC algorithms can be difficult to implement successfully because of the sensitivity of an algorithm to model initial...

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Veröffentlicht in:	Water resources research 2008-12, Vol.44 (12), p.n/a
Hauptverfasser:	Smith, Tyler Jon, Marshall, Lucy Amanda
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian hydrologic model Markov chain Monte Carlo snowmelt
Online-Zugang:	Volltext
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