Sparse Bayesian regression approach to forecast agricultural commodity prices

Authors

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

Document Type

Presentation

Journal/Book Title/Conference

Agricultural and Applied Economics Association 2009 Joint Annual Meeting, Milwaukee, Wisconsin, USA

Publication Date

1-1-2009

Recommended Citation

Ticlavilca, A. M., D. Feuz, M. McKee. 2009. Sparse Bayesian regression approach to forecast agricultural commodity prices. Abstract presented at the Agricultural and Applied Economics Association 2009 Joint Annual Meeting, Milwaukee, Wisconsin, USA