Abstract
A two-dimensional time series model with long-memory dependence is introduced. The model is based on a fractionally differenced autoregressive process (long-memory) combined with a standard pth order stationary autoregressive process (short-memory). The maximum likelihood estimators for the parameters in the model are derived and their asymptotic distributions are obtained. A novel feature of the derivations is that a new two-dimensional martingale representation is used.
Original language | English (US) |
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Pages (from-to) | 219-235 |
Number of pages | 17 |
Journal | Journal of Statistical Planning and Inference |
Volume | 44 |
Issue number | 2 |
DOIs | |
State | Published - Apr 1 1995 |
Externally published | Yes |
Keywords
- 62M05
- 62M10
- Asymptotic inference
- Lattice processes
- Long-memory dependence
- Maximum likelihood estimation
- Time series
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics