Choosing among alternative hydrologic regression models.

Juan B Valdes, G. J. Vicens, I. Rodriguez-Iturbe

Research output: Contribution to journalArticle

10 Citations (Scopus)

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 exogeneous variables in regression models. Controlled experiments 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. - Authors

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

Fingerprint

parameter uncertainty
model uncertainty
Bayesian theory
Set theory
testing
sampling
experiment
Experiments
Uncertainty
parameter
test

ASJC Scopus subject areas

  • Aquatic Science
  • Environmental Science(all)
  • Environmental Chemistry
  • Water Science and Technology

Cite this

Valdes, J. B., Vicens, G. J., & Rodriguez-Iturbe, I. (1979). Choosing among alternative hydrologic regression models. Water Resources Research, 15(2), 347-358.

Choosing among alternative hydrologic regression models. / Valdes, Juan B; Vicens, G. J.; Rodriguez-Iturbe, I.

In: Water Resources Research, Vol. 15, No. 2, 1979, p. 347-358.

Research output: Contribution to journalArticle

Valdes, JB, Vicens, GJ & Rodriguez-Iturbe, I 1979, 'Choosing among alternative hydrologic regression models.', Water Resources Research, vol. 15, no. 2, pp. 347-358.
Valdes, Juan B ; Vicens, G. J. ; Rodriguez-Iturbe, I. / Choosing among alternative hydrologic regression models. In: Water Resources Research. 1979 ; Vol. 15, No. 2. pp. 347-358.
@article{1238c3e975494341afc9accd29671eeb,
title = "Choosing among alternative hydrologic regression models.",
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 exogeneous variables in regression models. Controlled experiments 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. - Authors",
author = "Valdes, {Juan B} and Vicens, {G. J.} and I. Rodriguez-Iturbe",
year = "1979",
language = "English (US)",
volume = "15",
pages = "347--358",
journal = "Water Resources Research",
issn = "0043-1397",
publisher = "American Geophysical Union",
number = "2",

}

TY - JOUR

T1 - Choosing among alternative hydrologic regression models.

AU - Valdes, Juan B

AU - Vicens, G. J.

AU - Rodriguez-Iturbe, I.

PY - 1979

Y1 - 1979

N2 - 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 exogeneous variables in regression models. Controlled experiments 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. - Authors

AB - 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 exogeneous variables in regression models. Controlled experiments 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. - Authors

UR - http://www.scopus.com/inward/record.url?scp=0018654871&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0018654871&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0018654871

VL - 15

SP - 347

EP - 358

JO - Water Resources Research

JF - Water Resources Research

SN - 0043-1397

IS - 2

ER -