Choosing among alternative hydrologic regression models

Juan B. Valdés, Guillermo J. Vicéns, Ignacio Rodríguez‐Iturbe

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

Bayesian theory provides for the explicit accounting of both parameter and model uncertainties. It is used in this work to derive a procedure for discriminating among alternative hydrologic regression models. In particular, the procedure was used to discriminate among alternative exogenous variables in regression models. Controlled experiments with hydrologic models were designed to test the proposed procedure under different assumptions on model prior probabilities, length of sample, and model subset. These examples showed that besides its theoretical advantages, the use of the Bayesian procedure unambiguously selects the correct model in most of the applications.

Original languageEnglish (US)
Pages (from-to)347-358
Number of pages12
JournalWater Resources Research
Volume15
Issue number2
DOIs
StatePublished - Apr 1979

ASJC Scopus subject areas

  • Water Science and Technology

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