Simultaneous prediction intervals for ARMA processes with stable innovations
We describe a method for calculating simultaneous prediction intervals for ARMA times series with heavy-tailed stable innovations. The spectral measure of the vector of prediction errors is shown to be discrete. Direct computation of high-dimensional stable probabilities is not feasible, but we show that Monte Carlo estimates of the interval width is practical. Copyright © 2008 John Wiley & Sons, Ltd.
Year of publication: |
2009
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Authors: | Nolan, John P. ; Ravishanker, Nalini |
Published in: |
Journal of Forecasting. - John Wiley & Sons, Ltd.. - Vol. 28.2009, 3, p. 235-246
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Publisher: |
John Wiley & Sons, Ltd. |
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