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Narrow-band analysis of nonstationary processes
- Source :
- Ann. Statist. 29, no. 4 (2001), 947-986
- Publication Year :
- 2001
-
Abstract
- The behaviour of averaged periodograms and cross-periodograms of a broad class of nonstationary processes is studied. The processes include nonstationary ones that are fractional of any order, as well as asymptotically stationary fractional ones. The cross-periodogram can involve two nonstationary processes of possibly different orders, or a nonstationary and an asymptotically stationary one. The averaging takes place either over the whole frequency band, or over one that degenerates slowly to zero frequency as sample size increases. In some cases it is found to make no asymptotic difference, and in particular we indicate how the behaviour of the mean and variance changes across the two-dimensional space of integration orders. The results employ only local-to-zero assumptions on the spectra of the underlying weakly stationary sequences. It is shown how the results can be applied in fractional cointegration with unknown integration orders.
- Subjects :
- Statistics and Probability
Analysis of covariance
long range dependence
Cointegration
Primary 62M10
secondary 60G18
62M15. [Nonstationary processes
least squares estimation
narrow-band estimation
cointegration analysis. AMS 2000 subject classifications]
Frequency band
Variance (accounting)
Stationary sequence
cointegration analysis
Space (mathematics)
Spectral line
Settore MAT/06 - Probabilita' e Statistica Matematica
Nonstationary processes, long-range dependence, least squares estimation, narrow-band estimation, cointegration analysis
62M15
Sample size determination
60G18
62M10
jel:C1
HA Statistics
Statistical physics
Statistics, Probability and Uncertainty
Nonstationary processes
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Ann. Statist. 29, no. 4 (2001), 947-986
- Accession number :
- edsair.doi.dedup.....e423f24a85fab27335688e164d1b8fa7