Forecasting irrigation canal demand using multivariate sparse Bayesian learning approach

Authors

Andres M. Ticlavilca, Utah State UniversityFollow
Mac McKee, Utah State UniversityFollow
Wynn R. Walker, Utah State UniversityFollow

Document Type

Presentation

Journal/Book Title/Conference

AGU Fall Meeting. Hydrology Section. San Francisco, California, USA

Publication Date

1-1-2009

Recommended Citation

Ticlavilca, A. M., M. McKee, and W. Walker. 2009. Real-time forecasting of streamflow and water loss/gain in a river system by using a robust multivariate Bayesian regression model. Abstract presented at the 2009 AGU Fall Meeting. Hydrology Section. San Francisco, California, USA