메뉴 건너뛰기




Volumn 101, Issue 10, 2010, Pages 2320-2345

The multiple hybrid bootstrap - Resampling multivariate linear processes

Author keywords

Autocovariance matrix; Cholesky decomposition; Discrete Fourier transform; Frequency domain bootstrap; Kernel estimators; Multivariate bootstrap; Multivariate linear time series; Sample mean; Spectral density matrix

Indexed keywords


EID: 77956778254     PISSN: 0047259X     EISSN: 10957243     Source Type: Journal    
DOI: 10.1016/j.jmva.2010.06.005     Document Type: Article
Times cited : (26)

References (30)
  • 1
    • 77956744076 scopus 로고    scopus 로고
    • Bootstrapping multivariate spectra, Preprint
    • J. Berkowitz, F.X. Diebold, Bootstrapping multivariate spectra, Preprint, 1997.
    • (1997)
    • Berkowitz, J.1    Diebold, F.X.2
  • 2
    • 0000485156 scopus 로고
    • Some asymptotic theory for the bootstrap
    • Bickel J.P., Freedman D.A. Some asymptotic theory for the bootstrap. Ann. Statist. 1981, 9(6):1196-1217.
    • (1981) Ann. Statist. , vol.9 , Issue.6 , pp. 1196-1217
    • Bickel, J.P.1    Freedman, D.A.2
  • 5
    • 0041639639 scopus 로고    scopus 로고
    • Bootstraps for time series
    • Bühlmann P. Bootstraps for time series. Statist. Sci. 2002, 17:52-72.
    • (2002) Statist. Sci. , vol.17 , pp. 52-72
    • Bühlmann, P.1
  • 6
    • 0010923191 scopus 로고
    • Asymptotic normality of spectral estimates
    • Dahlhaus R. Asymptotic normality of spectral estimates. J. Multivariate Anal. 1985, 16:412-431.
    • (1985) J. Multivariate Anal. , vol.16 , pp. 412-431
    • Dahlhaus, R.1
  • 7
    • 0030366077 scopus 로고    scopus 로고
    • A frequency domain bootstrap for ratio statistics in time series analysis
    • Dahlhaus R., Janas D. A frequency domain bootstrap for ratio statistics in time series analysis. Ann. Statist. 1996, 24:1934-1963.
    • (1996) Ann. Statist. , vol.24 , pp. 1934-1963
    • Dahlhaus, R.1    Janas, D.2
  • 8
    • 24944432334 scopus 로고    scopus 로고
    • Multivariate spectral analysis using Cholesky decomposition
    • Dai M., Guo W. Multivariate spectral analysis using Cholesky decomposition. Biometrika 2004, 91(3):629-643.
    • (2004) Biometrika , vol.91 , Issue.3 , pp. 629-643
    • Dai, M.1    Guo, W.2
  • 9
    • 0002344794 scopus 로고
    • Bootstrap methods: another look at the jackknife
    • Efron B. Bootstrap methods: another look at the jackknife. Ann. Statist. 1979, 7:1-26.
    • (1979) Ann. Statist. , vol.7 , pp. 1-26
    • Efron, B.1
  • 10
    • 0000627534 scopus 로고
    • On bootstrapping kernel spectral estimates
    • Franke J., Härdle W. On bootstrapping kernel spectral estimates. Ann. Statist. 1992, 20(1):121-145.
    • (1992) Ann. Statist. , vol.20 , Issue.1 , pp. 121-145
    • Franke, J.1    Härdle, W.2
  • 11
    • 33750996992 scopus 로고    scopus 로고
    • Multivariate time-dependent spectral analysis using Cholesky decomposition
    • Guo W., Dai M. Multivariate time-dependent spectral analysis using Cholesky decomposition. Statist. Sinica 2006, 16(3):825-845.
    • (2006) Statist. Sinica , vol.16 , Issue.3 , pp. 825-845
    • Guo, W.1    Dai, M.2
  • 14
    • 77956771328 scopus 로고
    • Frequency domain bootstrap methods for time series, Technical Report 87-115, Grduate School of Business Administration, New York Univ
    • C.M. Hurvich, S.L. Zeger, Frequency domain bootstrap methods for time series, Technical Report 87-115, Grduate School of Business Administration, New York Univ., 1987.
    • (1987)
    • Hurvich, C.M.1    Zeger, S.L.2
  • 15
    • 77956788747 scopus 로고    scopus 로고
    • TFT-bootstrap: resampling in the frequency domain to obtain replicates in the time domain, Preprint
    • C. Kirch, D. Politis, TFT-bootstrap: resampling in the frequency domain to obtain replicates in the time domain, Preprint, 2009.
    • (2009)
    • Kirch, C.1    Politis, D.2
  • 16
    • 77956774119 scopus 로고
    • Adaptive estimation and testing in ARMA models-the multivariate case, Unpublished manuscript
    • J.-P. Kreiss, Adaptive estimation and testing in ARMA models-the multivariate case, Unpublished manuscript, 1984.
    • (1984)
    • Kreiss, J.-P.1
  • 17
    • 84981382990 scopus 로고
    • Bootstrapping stationary autoregressive moving-average models
    • Kreiss J.-P., Franke J. Bootstrapping stationary autoregressive moving-average models. J. Time Ser. Anal. 1992, 13(4):297-317.
    • (1992) J. Time Ser. Anal. , vol.13 , Issue.4 , pp. 297-317
    • Kreiss, J.-P.1    Franke, J.2
  • 18
    • 1442310916 scopus 로고    scopus 로고
    • Autoregressive-aided periodogram bootstrap for time series
    • Kreiss J.-P., Paparoditis E. Autoregressive-aided periodogram bootstrap for time series. Ann. Statist. 2003, 31(6):1923-1955.
    • (2003) Ann. Statist. , vol.31 , Issue.6 , pp. 1923-1955
    • Kreiss, J.-P.1    Paparoditis, E.2
  • 19
    • 0000181737 scopus 로고
    • The jackknife and the bootstrap for general stationary observations
    • Künsch H.R. The jackknife and the bootstrap for general stationary observations. Ann. Statist. 1989, 17(3):1217-1241.
    • (1989) Ann. Statist. , vol.17 , Issue.3 , pp. 1217-1241
    • Künsch, H.R.1
  • 22
    • 0001616689 scopus 로고
    • A note on asymptotic joint normality
    • Mallows C.L. A note on asymptotic joint normality. Ann. Math. Statist. 1972, 43:508-515.
    • (1972) Ann. Math. Statist. , vol.43 , pp. 508-515
    • Mallows, C.L.1
  • 23
    • 41449090422 scopus 로고    scopus 로고
    • Goodness-of-fit tests for Markovian time series models
    • Neumann M.H., Paparoditis E. Goodness-of-fit tests for Markovian time series models. Bernoulli 2008, 14(1):14-46.
    • (2008) Bernoulli , vol.14 , Issue.1 , pp. 14-46
    • Neumann, M.H.1    Paparoditis, E.2
  • 24
    • 1442317565 scopus 로고    scopus 로고
    • Frequency domain bootstrap for time series
    • Birkhäuser, Boston, H. Dehling, T. Mikosch, M. Sorensen (Eds.)
    • Paparoditis E. Frequency domain bootstrap for time series. Empirical Process Techniques for Dependent Data 2002, 365-381. Birkhäuser, Boston. H. Dehling, T. Mikosch, M. Sorensen (Eds.).
    • (2002) Empirical Process Techniques for Dependent Data , pp. 365-381
    • Paparoditis, E.1
  • 25
    • 0030143847 scopus 로고    scopus 로고
    • Bootstrapping autoregressive and moving average parameter estimates of infinite order vector autoregressive processes
    • Paparoditis E. Bootstrapping autoregressive and moving average parameter estimates of infinite order vector autoregressive processes. J. Multivariate Anal. 1996, 57:277-296.
    • (1996) J. Multivariate Anal. , vol.57 , pp. 277-296
    • Paparoditis, E.1
  • 26
    • 20744454032 scopus 로고    scopus 로고
    • Testing the fit of a vector autoregressive moving average model
    • Paparoditis E. Testing the fit of a vector autoregressive moving average model. J. Time Ser. Anal. 2005, 16(4):543-568.
    • (2005) J. Time Ser. Anal. , vol.16 , Issue.4 , pp. 543-568
    • Paparoditis, E.1
  • 27
    • 0039774115 scopus 로고    scopus 로고
    • The local bootstrap for periodogram statistics
    • Paparoditis E., Politis D.N. The local bootstrap for periodogram statistics. J. Time Ser. Anal. 1999, 20:193-222.
    • (1999) J. Time Ser. Anal. , vol.20 , pp. 193-222
    • Paparoditis, E.1    Politis, D.N.2
  • 29
    • 39749185919 scopus 로고    scopus 로고
    • Bootstrapping the local periodogram of locally stationary processes
    • Sergides M., Paparoditis E. Bootstrapping the local periodogram of locally stationary processes. J. Time Ser. Anal. 2007, 29(2):264-299.
    • (2007) J. Time Ser. Anal. , vol.29 , Issue.2 , pp. 264-299
    • Sergides, M.1    Paparoditis, E.2
  • 30
    • 0000856691 scopus 로고
    • On the fitting of multivariate autoregressions, and the approximate canonical factorization of a spectral density matrix
    • Whittle P. On the fitting of multivariate autoregressions, and the approximate canonical factorization of a spectral density matrix. Biometrika 1963, 50(1-2):129-134.
    • (1963) Biometrika , vol.50 , Issue.1-2 , pp. 129-134
    • Whittle, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.