메뉴 건너뛰기




Volumn 2, Issue , 2008, Pages 678-695

Functional principal components analysis via penalized rank one approximation

Author keywords

Functional data analysis; Penalization; Regularization; Singular value decomposition

Indexed keywords


EID: 69249142337     PISSN: 19357524     EISSN: None     Source Type: Journal    
DOI: 10.1214/08-EJS218     Document Type: Article
Times cited : (61)

References (16)
  • 2
    • 34250263445 scopus 로고
    • Smoothing noisy data with spline functions
    • Craven, P. and Wahba, G. (1979). Smoothing noisy data with spline functions. Numer. Math. 31 377-90.
    • (1979) Numer. Math , vol.31 , pp. 377-390
    • Craven, P.1    Wahba, G.2
  • 3
    • 0000802374 scopus 로고
    • The approximation of one matrix by another of lower rank
    • Eckart, C. and Young, G. (1936). The approximation of one matrix by another of lower rank. Psychometrika 1 211-218.
    • (1936) Psychometrika , vol.1 , pp. 211-218
    • Eckart, C.1    Young, G.2
  • 5
    • 0001710505 scopus 로고
    • Analysis of a complex of statistical variables in principal components
    • Hotelling (1933). Analysis of a complex of statistical variables in principal components. J. Educ. Psychol. 24 417-441, 498-520.
    • (1933) J. Educ. Psychol , vol.24
    • Hotelling1
  • 6
    • 0001699048 scopus 로고    scopus 로고
    • Principal component models for sparse functional data
    • James G. M., Hastie, T. J. and Sugar, C. A. (2000). Principal component models for sparse functional data. Biometrika 87 587-602.
    • (2000) Biometrika , vol.87 , pp. 587-602
    • James, G.M.1    Hastie, T.J.2    Sugar, C.A.3
  • 9
    • 0000325341 scopus 로고
    • On lines and planes of closest fit to systems of points in space
    • Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. Phil. Mag. 6 1-7.
    • (1901) Phil. Mag , vol.6 , pp. 1-7
    • Pearson, K.1
  • 11
    • 0001597980 scopus 로고
    • Estimating the mean and covariance structure nonparametrically when the data are curves
    • Rice, J. A. and Silverman, B. W. (1991). Estimating the mean and covariance structure nonparametrically when the data are curves. J. Roy. Statist. Soc. Ser. B 53 233-243.
    • (1991) J. Roy. Statist. Soc. Ser. B , vol.53 , pp. 233-243
    • Rice, J.A.1    Silverman, B.W.2
  • 12
    • 0035106736 scopus 로고    scopus 로고
    • Nonparametric mixed effects models for unequally sampled noisy curves
    • Rice, J. A. and Wu, C. O. (2001). Nonparametric mixed effects models for unequally sampled noisy curves. Biometrics 57 253-59.
    • (2001) Biometrics , vol.57 , pp. 253-259
    • Rice, J.A.1    Wu, C.O.2
  • 13
    • 0030537857 scopus 로고    scopus 로고
    • Smoothed functional principal components analysis by choice of norm
    • Silverman, B. W. (1996). Smoothed functional principal components analysis by choice of norm. Ann. Statist. 24 1-24.
    • (1996) Ann. Statist , vol.24 , pp. 1-24
    • Silverman, B.W.1
  • 14
    • 60849087198 scopus 로고    scopus 로고
    • Interday forecasting and intraday updating of call center arrivals
    • Shen, H. and Huang, J. Z. (2008). Interday forecasting and intraday updating of call center arrivals. Manufacturing and Service Operations Management 10 391-410.
    • (2008) Manufacturing and Service Operations Management , vol.10 , pp. 391-410
    • Shen, H.1    Huang, J.Z.2
  • 15
    • 19744375466 scopus 로고    scopus 로고
    • Functional data analysis for sparse longitudinal data
    • Yao, F., Müller, H.-G. and Wang, J.-L. (2005a). Functional data analysis for sparse longitudinal data. J. Amer. Statist. Assoc. 100 577-90.
    • (2005) J. Amer. Statist. Assoc , vol.100 , pp. 577-590
    • Yao, F.1    Müller, H.-G.2    Wang, J.-L.3
  • 16
    • 19744369661 scopus 로고    scopus 로고
    • Functional linear regression analysis for longitudinal data
    • Yao, F., Müller, H.-G. and Wang, J.-L. (2005b). Functional linear regression analysis for longitudinal data. Ann. Statist. 33 2873-903.
    • (2005) Ann. Statist , vol.33 , pp. 2873-2903
    • Yao, F.1    Müller, H.-G.2    Wang, J.-L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.