## Abstract Let {__X__~__t__~} be a stationary process with spectral density __g__(ฮป).It is often that the true structure __g__(ฮป) is not completely specified. This paper discusses the problem of misspecified prediction when a conjectured spectral density __f__~ฮธ~(ฮป), ฮธโฮ, is fitted to __g__(ฮป). Th
Time-simultaneous prediction band for a time series
โ Scribed by Dag Kolsrud
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 297 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.1020
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
I propose principles and methods for the construction of a timeโsimultaneous prediction band for a univariate time series. The methods are entirely based on a learning sample of time trajectories, and make no parametric assumption about its distribution. Hence, the methods are general and widely applicable. The expected coverage probability of a band can be estimated by a bootstrap procedure. The estimate is likely to be less than the nominal level. Expected lack of coverage can be compensated for by increasing the coverage in the learning sample. Applications to simulated and empirical data illustrate the methods.โโCopyright ยฉ 2007 John Wiley & Sons, Ltd.
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