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Volumn , Issue , 2007, Pages 604-609

Time series forecasting using multiple Gaussian process prior model

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; GENETIC ALGORITHMS; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; TIME SERIES ANALYSIS;

EID: 34548803146     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2007.368931     Document Type: Conference Paper
Times cited : (13)

References (16)
  • 1
    • 0003017575 scopus 로고    scopus 로고
    • Prediction with Gaussian Processes: From Linear-Regression to Linear Prediction and Beyond
    • Kluwer Academic Press, pp
    • C. K. I. Williams, "Prediction with Gaussian Processes: From Linear-Regression to Linear Prediction and Beyond", in Learning and Inference in Graphical Models, Kluwer Academic Press, pp.599-621, 1998.
    • (1998) Learning and Inference in Graphical Models , pp. 599-621
    • Williams, C.K.I.1
  • 4
    • 84867040604 scopus 로고    scopus 로고
    • Gaussian Process Priors with Uncertain Inputs -Application to MutipleStep Ahead Time Series Forecasting
    • MIT Press
    • A. Girard, C. E. Rasmussen, J. Q. Candela and R. Murray-Smith, "Gaussian Process Priors with Uncertain Inputs -Application to MutipleStep Ahead Time Series Forecasting", in Advances in Neural Information Processing Systems, vol.15, pp.542-552, MIT Press, 2003.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 542-552
    • Girard, A.1    Rasmussen, C.E.2    Candela, J.Q.3    Murray-Smith, R.4
  • 8
    • 0002978835 scopus 로고
    • Curve Fitting and Optimal Design for Prediction (with discussion)
    • A. O'Hagan, "Curve Fitting and Optimal Design for Prediction (with discussion)", Journal of the Royal Statistical Society B, vol.40, pp. 1-42, 1978.
    • (1978) Journal of the Royal Statistical Society B , vol.40 , pp. 1-42
    • O'Hagan, A.1
  • 13
    • 0000803444 scopus 로고
    • The Differentiation of Pseudo-inverses and Nonlinear Least Squares Problems Whose Variables Separate
    • G. H. Golub and V. Pereyra, "The Differentiation of Pseudo-inverses and Nonlinear Least Squares Problems Whose Variables Separate", SIAM Journal of Numerical Analysis, vol.10, no.2, pp.413-432, 1973.
    • (1973) SIAM Journal of Numerical Analysis , vol.10 , Issue.2 , pp. 413-432
    • Golub, G.H.1    Pereyra, V.2
  • 14
    • 0032624479 scopus 로고    scopus 로고
    • Linear and Non-linear System Identification Using Separable Least-Squares
    • J. Bruls, C. T. Chou, B. R. J. Haverkamp and M. Verhaegen, "Linear and Non-linear System Identification Using Separable Least-Squares", European Journal of Control, vol.5, pp.116-128, 1999.
    • (1999) European Journal of Control , vol.5 , pp. 116-128
    • Bruls, J.1    Chou, C.T.2    Haverkamp, B.R.J.3    Verhaegen, M.4
  • 15
    • 0035895092 scopus 로고    scopus 로고
    • Identification of Multivariable Bilinear State Space Systems Based on Subspace Techniques and Separable Least Squares Optimization
    • V. Verdult and M. Verhaegen, "Identification of Multivariable Bilinear State Space Systems Based on Subspace Techniques and Separable Least Squares Optimization", International Journal of Control, vol.74, no.18, pp.1824-1836, 2001.
    • (2001) International Journal of Control , vol.74 , Issue.18 , pp. 1824-1836
    • Verdult, V.1    Verhaegen, M.2
  • 16
    • 9744270027 scopus 로고    scopus 로고
    • Identification of Non-linear Parametrically Varying Models Using Separable Least Squares
    • F. Previdi and M. Lovera, "Identification of Non-linear Parametrically Varying Models Using Separable Least Squares", International Journal of Control, vol.77, no.16, pp.1382-1392, 2004.
    • (2004) International Journal of Control , vol.77 , Issue.16 , pp. 1382-1392
    • Previdi, F.1    Lovera, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.