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Volumn 51, Issue 10, 2007, Pages 4994-5008

Kalman filtering from POP-based diagonalization of ARH(1)

Author keywords

Autoregressive Hilbertian model; Dimension reduction; Optimal decomposition; Spatial functional data; Spatiotemporal interaction model

Indexed keywords

AUTOCORRELATION; FUNCTIONAL ANALYSIS; KALMAN FILTERS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; THEOREM PROVING;

EID: 34247538464     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2006.07.013     Document Type: Article
Times cited : (10)

References (19)
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  • 7
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  • 10
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  • 11
    • 0041407315 scopus 로고    scopus 로고
    • Rates of convergence of autocorrelation estimates for autoregressive Hilbertian processes
    • Guillas S. Rates of convergence of autocorrelation estimates for autoregressive Hilbertian processes. Statist. Probab. Lett. 55 (2001) 281-291
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    • Guillas, S.1
  • 12
    • 34247543737 scopus 로고    scopus 로고
    • Matheron, G., 1962. Traité de géoestatistique apliquée, tome I, mémoires du Bureau de Recherches Géologiques et Miniéres, Editions Bureau de Recherches Gṕeologiques et Miniéres, vol. 24. Paris, 1962.
  • 15
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    • Functional stochastic modeling and prediction of spatio-temporal processes
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    • Ruiz-Medina M.D., Alonso F.J., Angulo J.M., and Bueso M.C. Functional stochastic modeling and prediction of spatio-temporal processes. J. Geoph. Res. Atmos. 108 D24 (2003) 9003 10.1029/2003JD003416
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    • A kernel-based spectral model for non-Gaussian spatio-temporal processes
    • Wikle C.K. A kernel-based spectral model for non-Gaussian spatio-temporal processes. Statist. Model. Inter. J. 2 (2002) 299-314
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  • 19
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    • A dimension-reduction approach to space-time Kalman filtering
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.