| Full text | |
| Author(s): |
Total Authors: 3
|
| Affiliation: | [1] Univ Fed Juiz de Fora, Inst Exact Sci, Dept Stat, Juiz De Fora - Brazil
[2] Univ Sao Paulo, Inst Math & Stat, Dept Stat, Sao Paulo - Brazil
Total Affiliations: 2
|
| Document type: | Journal article |
| Source: | INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING; v. 16, n. 1 JAN 2018. |
| Web of Science Citations: | 0 |
| Abstract | |
The area of nonlinear time series models has experienced a great development since the 1980s. Although there is a wide range of parametric nonlinear time series models, in general, we do not know if the postulated model is the most appropriated one for a specific data set. This situation highlights the importance of nonparametric models. An interesting nonparametric model to fit nonlinear time series is the well-known functional coefficient regression model. Nonparametric estimations by, e.g., local linear regression and splines, are developed in the literature. In this work, we study the estimation of such a model using wavelets. It is a proposal that takes into account both, classical and warped wavelets. We present the rates of convergence of the proposed estimators and carry out simulation studies to evaluate automatic procedures (among AIC, AICc and BIC) for selecting the coarsest and finest levels to be used during the estimation process. Moreover, we illustrate the methodology with an application to a real data set, where we also calculate multi-step-ahead forecasts and compare the results with other methods known in the literature. (AU) | |
| FAPESP's process: | 13/21273-5 - Estimation of semi-functional linear models by wavelets |
| Grantee: | Michel Helcias Montoril |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |
| FAPESP's process: | 13/09035-1 - Regression models in functional data analysis |
| Grantee: | Michel Helcias Montoril |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 08/51097-6 - Time Series, Dependence Analysis and Applications |
| Grantee: | Pedro Alberto Morettin |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 13/00506-1 - Time series, wavelets and functional data analysis |
| Grantee: | Pedro Alberto Morettin |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 09/09588-5 - Estimation of FAR models by wavelets |
| Grantee: | Michel Helcias Montoril |
| Support Opportunities: | Scholarships in Brazil - Doctorate |