Commodity price modeling and forecasting using wavelet and Bayesian machine learning regression approach

Authors

I. Maslova
Andres M. Ticlavilca, Utah State UniversityFollow
D. Feuz
Mac McKee, Utah State UniversityFollow

Document Type

Presentation

Journal/Book Title/Conference

31st Annual International Symposium on Forecasting, Prague, Czech Republic

Publication Date

1-1-2011

Recommended Citation

Maslova, I., A. M. Ticlavilca, D. Feuz, and M. McKee. 2011. Commodity price modeling and forecasting using wavelet and Bayesian machine learning regression approach. The 31st Annual International Symposium on Forecasting, Prague, Czech Republic.