Narrow-band analysis of nonstationary processes

被引:0
|
作者
Robinson, PM [1 ]
Marinucci, D [1 ]
机构
[1] London Sch Econ, London WC2A 2AE, England
来源
ANNALS OF STATISTICS | 2001年 / 29卷 / 04期
关键词
nonstationary processes; long range dependence; least squares estimation; narrow-band estimation; cointegration analysis;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The behavior 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 behavior 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.
引用
收藏
页码:947 / 986
页数:40
相关论文
共 50 条
  • [1] Fully modified narrow-band least squares estimation of weak fractional cointegration
    Nielsen, Morten Orregaard
    Frederiksen, Per
    ECONOMETRICS JOURNAL, 2011, 14 (01): : 77 - 120
  • [2] Extremes of Nonstationary Harmonizable Processes
    Grigoriu, M.
    METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2025, 27 (01)
  • [3] Probabilistic Stationary Subspace Analysis for Monitoring Nonstationary Industrial Processes With Uncertainty
    Wu, Dehao
    Zhou, Donghua
    Chen, Maoyin
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (05) : 3114 - 3125
  • [4] Reduced Stationary Subspace Analysis for Anomaly Detection in Nonstationary Industrial Processes
    Wu, Dehao
    Chen, Maoyin
    Zhou, Donghua
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 6612 - 6616
  • [5] UNBIASED WIENER FILTERING - NONSTATIONARY PROCESSES
    ANH, VV
    SPENCER, NM
    SIGNAL PROCESSING, 1991, 25 (01) : 51 - 68
  • [6] LARGE-SAMPLE ESTIMATION IN NONSTATIONARY AUTOREGRESSIVE PROCESSES WITH MULTIPLE OBSERVATIONS
    SETHURAMAN, S
    BASAWA, IV
    STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 1994, 54 (02) : 331 - 354
  • [7] Robust quickest change detection in nonstationary processes
    Hou, Yingze
    Oleyaeimotlagh, Yousef
    Mishra, Rahul
    Bidkhori, Hoda
    Banerjee, Taposh
    SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 2024, 43 (03): : 275 - 300
  • [8] Wavelet Coherence for Certain Nonstationary Bivariate Processes
    Cohen, E. A. K.
    Walden, A. T.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2011, 59 (06) : 2522 - 2531
  • [9] Fitting time series models to nonstationary processes
    Dahlhaus, R
    ANNALS OF STATISTICS, 1997, 25 (01): : 1 - 37
  • [10] Total Variable Decomposition Based on Sparse Cointegration Analysis for Distributed Monitoring of Nonstationary Industrial Processes
    Zhao, Chunhui
    Sun, He
    Tian, Feng
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2020, 28 (04) : 1542 - 1549