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Volumn 91, Issue 3, 2004, Pages 629-643

Multivariate spectral analysis using Cholesky decomposition

Author keywords

Bootstrap; Cholesky decomposition; Multivariate time series; Smoothing spline; Spectral analysis

Indexed keywords


EID: 24944432334     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/91.3.629     Document Type: Article
Times cited : (47)

References (11)
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  • 5
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    • Pawitan, Y.1
  • 6
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    • Spectral analysis of univariate and bivariate time series
    • Ed. J. L. Stanford and S. B. Vardeman, New York: Academic Press
    • PERCIVAL, D. B. (1994). Spectral analysis of univariate and bivariate time series. In Statistical Methods for Physical Science, Ed. J. L. Stanford and S. B. Vardeman, pp. 313-48. New York: Academic Press.
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    • Percival, D.B.1
  • 7
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    • Spectrum estimation and harmonic analysis
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    • Thomson, D.J.1
  • 8
    • 0000939344 scopus 로고
    • Bayesian 'confidence intervals' for the cross-validated smoothing spline
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  • 9
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    • WAHBA, G. (1990). Spline Models for Observational Data, CBMS-NSF Regional Conference Series in Applied Mathematics. Philadelphia, PA:SIAM.
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    • Wahba, G.1
  • 10
    • 15744391288 scopus 로고    scopus 로고
    • A unified view of multitaper multivariate spectral estimation
    • WALDEN, A. T. (2000). A unified view of multitaper multivariate spectral estimation. Biometrika 87, 767-88.
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    • Walden, A.T.1
  • 11
    • 0012065989 scopus 로고
    • The effective bandwidth of a multitaper spectral estimator
    • WALDEN, A. T. & MCCOY, E. J. (1995). The effective bandwidth of a multitaper spectral estimator. Biometrika 82, 201-14.
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    • Walden, A.T.1    Mccoy, E.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.