Abstract
We study non-parametric regression function estimation for models with strong dependence. Compared with short-range dependent models, long-range dependent models often result in slower convergence rates. We propose a simple differencing-sequence based non-parametric estimator that achieves the same convergence rate as if the data were independent. Simulation studies show that the proposed method has good finite sample performance.
Original language | English (US) |
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Pages (from-to) | 4-15 |
Number of pages | 12 |
Journal | Journal of Time Series Analysis |
Volume | 35 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2014 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics