On linear models with long memory and heavy-tailed errors
Journal of Multivariate Analysis
Long-term prediction intervals of time series
IEEE Transactions on Information Theory
Hi-index | 754.90 |
An algorithm for generating sample paths of linear fractional stable motion (LFSM) is introduced. It is based on the approximation of LFSM by a linear process and exhibits low computational complexity. A detailed analysis of the error term involved in the approximation is provided, which in turn guides the user on selecting the size of the generated sequence.