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[BZK10] Wavelet-PLS Regression: Application to Oil Production Data
Conférence Internationale avec comité de lecture : COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, August 2010, pp.785-791, Paris, France,
motcle:
Résumé:
This paper is devoted to the study of PLS regression in the presence of
noise that could a ect the quality of the results. To solve this problem, we suggest a hybrid approach which combines PLS regression and wavelet-based thresholding
techniques. The proposed method is validated via a simulation study and subsequently
applied to petroleum data. Empirical results show the relevance of the
selected approach and contribute to a better modelling of the series of study.
Equipe:
msdma
BibTeX
| @inproceedings { | |||
| BZK10, | |||
| title | = | "{Wavelet-PLS Regression: Application to Oil Production Data}", | |
| author | = | " S. Benammou and K. Zied and H. Kortas and D. Zouhaier ", | |
| booktitle | = | "{COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris}", | |
| year | = | 2010, | |
| month | = | "August", | |
| pages | = | "785-791", | |
| address | = | "Paris, France", | |
| } | |||
