| Article ID: | iaor1999492 |
| Country: | United Kingdom |
| Volume: | 34 |
| Issue: | 4 |
| Start Page Number: | 939 |
| End Page Number: | 944 |
| Publication Date: | Dec 1997 |
| Journal: | Journal of Applied Probability |
| Authors: | Heyde C.C., Yang Y. |
Long-range dependence has usually been defined in terms of covariance properties relevant only to second-order stationary processes. Here we provide new definitions, almost equivalent to the original ones in that domain of applicability, which are useful for processes which may not be second-order stationary, or indeed have infinite variances. The ready applicability of this formulation for categorizing the behaviour for various infinite variance models is shown.