This paper is concerned with the determination of simultaneous con®dence regions for some types of time series models. We derive recursive formulas which allow the determination of the probability for an AR(1) stationary process based on exponential inputs to lie under any sequence of constants duri
✦ LIBER ✦
Simultaneous prediction intervals for ARMA processes with stable innovations
✍ Scribed by John P. Nolan; Nalini Ravishanker
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 175 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.1102
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✦ Synopsis
Abstract
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.
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