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Volumn 76, Issue 1, 2006, Pages 58-68

On the distribution of the residual cross-correlations of infinite order vector autoregressive series and applications

Author keywords

Asymptotic distribution; Finite autoregression; Portmanteau statistics; Residual cross correlations; Tests for non correlation

Indexed keywords


EID: 30944452979     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spl.2005.07.004     Document Type: Article
Times cited : (5)

References (11)
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  • 2
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    • On the asymptotic distribution of residual cross-correlation between two independent infinite order vector autoregressive series
    • Technical Report CRM-2924 Centre de recherches mathématiques, Université de Montréal, June 2003
    • Bouhaddioui, C., Roy, R., 2003. On the asymptotic distribution of residual cross-correlation between two independent infinite order vector autoregressive series. Technical Report CRM-2924, Centre de recherches mathématiques, Université de Montréal, June 2003.
    • (2003)
    • Bouhaddioui, C.1    Roy, R.2
  • 3
    • 0031285464 scopus 로고    scopus 로고
    • Tests for noncorrelation of two multivariate ARMA time series
    • K. El Himdi R. Roy Tests for noncorrelation of two multivariate ARMA time series Canad. J. Statist. 25 1997 233-256
    • (1997) Canad. J. Statist. , vol.25 , pp. 233-256
    • El Himdi, K.1    Roy, R.2
  • 4
    • 12444297919 scopus 로고    scopus 로고
    • Testing independence and causality between multivariate ARMA times series
    • M. Hallin A. Saidi Testing independence and causality between multivariate ARMA times series J. Time Ser. Anal. 26 2005 83-106
    • (2005) J. Time Ser. Anal. , vol.26 , pp. 83-106
    • Hallin, M.1    Saidi, A.2
  • 5
    • 0001592683 scopus 로고
    • Checking the independence of two covariance-stationary time series: A univariate residual cross correlation approach
    • L.D. Haugh Checking the independence of two covariance-stationary time series: A univariate residual cross correlation approach J. Amer. Statist. Assoc. 71 1976 376-385
    • (1976) J. Amer. Statist. Assoc. , vol.71 , pp. 376-385
    • Haugh, L.D.1
  • 6
    • 0141465814 scopus 로고    scopus 로고
    • Testing for independence between two covariance stationary time series
    • Y. Hong Testing for independence between two covariance stationary time series Biometrika 83 3 1996 615-625
    • (1996) Biometrika , vol.83 , Issue.3 , pp. 615-625
    • Hong, Y.1
  • 7
    • 0001283376 scopus 로고
    • A method for testing the independance of two time series that accounts for a potential pattern in the cross-correlation function
    • P. Koch S.-S. Yang A method for testing the independance of two time series that accounts for a potential pattern in the cross-correlation function J. Amer. Statist. Assoc. 81 1986 533-544
    • (1986) J. Amer. Statist. Assoc. , vol.81 , pp. 533-544
    • Koch, P.1    Yang, S.-S.2
  • 8
    • 0001030035 scopus 로고
    • Prediction of multivariate time series by autoregressive model fitting
    • R. Lewis G. Reinsel Prediction of multivariate time series by autoregressive model fitting J. Mult. Anal. 16 1985 393-411
    • (1985) J. Mult. Anal. , vol.16 , pp. 393-411
    • Lewis, R.1    Reinsel, G.2
  • 10
    • 0030143847 scopus 로고    scopus 로고
    • Bootstrapping autoregressive and moving average parameter estimates of infinite order vector autoregressive processes
    • E. Paparoditis Bootstrapping autoregressive and moving average parameter estimates of infinite order vector autoregressive processes J. Mult. Anal. 57 1996 277-296
    • (1996) J. Mult. Anal. , vol.57 , pp. 277-296
    • Paparoditis, E.1
  • 11
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    • Asymptotic covariance structure of serial correlation in multivariate time series
    • R. Roy Asymptotic covariance structure of serial correlation in multivariate time series Biometrika 76 1989 824-827
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    • Roy, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.