Gaussian and non-gaussian limit distributions of estimates of the regression coefficients of a long-memory time series

被引:0
|
作者
Leonenko M.M. [1 ]
Sharapov M.M. [1 ]
机构
[1] Kiev University, Kiev
关键词
Asymptotic Distribution; Nonlinear Functional; Stationary Gaussian Sequence; Hermite Rank; Unknown Regression Coefficient;
D O I
10.1007/BF02592040
中图分类号
学科分类号
摘要
We obtain Gaussian and non-Gaussian distributions of estimates of the regression coefficients of a long-memory time series. © 2000 Kluwer Academic/Plenum Publishers.
引用
收藏
页码:1044 / 1054
相关论文
共 50 条
  • [1] Identification of persistent cycles in non-gaussian long-memory time series
    Boutahar, Mohamed
    JOURNAL OF TIME SERIES ANALYSIS, 2008, 29 (04) : 653 - 672
  • [2] NON-GAUSSIAN LIMIT DISTRIBUTIONS OF LACUNARY TRIGONOMETRIC SERIES
    BERKES, I
    CANADIAN JOURNAL OF MATHEMATICS-JOURNAL CANADIEN DE MATHEMATIQUES, 1991, 43 (05): : 948 - 959
  • [3] On the Bartlett correction of empirical likelihood for Gaussian long-memory time series
    Chan, Ngai Hang
    Chen, Kun
    Yau, Chun Yip
    ELECTRONIC JOURNAL OF STATISTICS, 2014, 8 : 1460 - 1490
  • [4] Application of Malliavin calculus to long-memory parameter estimation for non-Gaussian processes
    Chronopoulou, Alexandra
    Tudor, Ciprian A.
    Viens, Frederi G.
    COMPTES RENDUS MATHEMATIQUE, 2009, 347 (11-12) : 663 - 666
  • [5] Whittle estimator for finite-variance non-Gaussian time series with long memory
    Giraitis, L
    Taqqu, MS
    ANNALS OF STATISTICS, 1999, 27 (01): : 178 - 203
  • [6] Non-Gaussian time series models
    Rosenblatt, M
    TIME SERIES ANALYSIS AND APPLICATIONS TO GEOPHYSICAL SYSTEMS, 2004, : 227 - 237
  • [7] Non-Gaussian distributions
    Mastrangelo, M
    Mastrangelo, V
    Teuler, JM
    APPLIED MATHEMATICS AND COMPUTATION, 1999, 101 (2-3) : 99 - 124
  • [8] Non-gaussian distributions
    Mastrangelo, M
    Mastrangelo, V
    Teuler, JM
    APPLIED MATHEMATICS AND COMPUTATION, 2000, 109 (2-3) : 225 - 247
  • [9] SPECTRAL ESTIMATION OF NON-GAUSSIAN TIME SERIES
    Fabian, Zdenek
    NEURAL NETWORK WORLD, 2010, 20 (04) : 491 - 499
  • [10] Online Gaussian Process Regression with Non-Gaussian Likelihood
    Seiferth, David
    Chowdhary, G.
    Muehlegg, M.
    Holzapfel, F.
    2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, : 3134 - 3140