Databased comparison of Sparse Bayesian Learning and Multiple Linear Regression for statistical downscaling of low flow indices

Journal of Hydrology

Volumn 488, Issue , 2013, Pages 136-149

  Joshi, Deepti ^a   St Hilaire, André ^a   Daigle, Anik ^a   Ouarda, Taha B M J ^a,b  

^a CENTRE EAU TERRE ENVIRONNEMENT   (Canada)

^b KHALIFA UNIVERSITY   (United Arab Emirates)

Author keywords

Downscaling Low flows Canonical correlation analysis Sparse Bayesian Learning Multiple Linear Regression

Indexed keywords

CORRELATION METHODS; MEAN SQUARE ERROR; REGRESSION ANALYSIS; STATISTICS;

CALIBRATION AND VALIDATIONS; CANONICAL CORRELATION ANALYSIS; COEFFICIENT OF DETERMINATION; LOW FLOW; MULTIPLE LINEAR REGRESSIONS; RELEVANCE VECTOR MACHINE; ROOT MEAN SQUARE ERRORS; SPARSE BAYESIAN LEARNING;

LINEAR REGRESSION;

BAYESIAN ANALYSIS; CANONICAL ANALYSIS; DATABASE; DOWNSCALING; GENERALIST; HUMIDITY; LINEARITY; NUMERICAL MODEL; REGRESSION ANALYSIS; RIVER FLOW; STATISTICAL ANALYSIS;

CANADA;

EID: 84886093860     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2013.02.040     Document Type: Article

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