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Volumn 139, Issue 7, 2009, Pages 2388-2398

Functional principal component analysis via regularized Gaussian basis expansions and its application to unbalanced data

Author keywords

Functional data analysis; Model selection; Protein structure; Radial basis functions; Regularization; Smoothing parameter; Spline

Indexed keywords


EID: 62049083097     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jspi.2008.11.002     Document Type: Article
Times cited : (21)

References (25)
  • 1
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • Petrov B.N., and Csaki F. (Eds), Akademiai Kiado
    • Akaike H. Information theory and an extension of the maximum likelihood principle. In: Petrov B.N., and Csaki F. (Eds). Second International Symposium on Information Theory (1973), Akademiai Kiado 267-281
    • (1973) Second International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1
  • 2
    • 49049090541 scopus 로고    scopus 로고
    • Nonlinear regression modeling via regularized radial basis function networks
    • Ando T., Konishi S., and Imoto S. Nonlinear regression modeling via regularized radial basis function networks. J. Statist. Plann. Inference 138 11 (2005) 3616-3633
    • (2005) J. Statist. Plann. Inference , vol.138 , Issue.11 , pp. 3616-3633
    • Ando, T.1    Konishi, S.2    Imoto, S.3
  • 3
    • 0001181674 scopus 로고
    • Principal components analysis of sampled functions
    • Besse P., and Ramsay J.O. Principal components analysis of sampled functions. Psychometrika 51 (1986) 285-311
    • (1986) Psychometrika , vol.51 , pp. 285-311
    • Besse, P.1    Ramsay, J.O.2
  • 5
    • 0035014847 scopus 로고    scopus 로고
    • Multi-class protein fold recognition using support vector machines and neural networks
    • Ding C.H., and Dubchak I. Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics 17 (2001) 349-358
    • (2001) Bioinformatics , vol.17 , pp. 349-358
    • Ding, C.H.1    Dubchak, I.2
  • 6
    • 25444532788 scopus 로고    scopus 로고
    • Flexible smoothing with B-splines and penalties (with discussion)
    • Eilers P., and Marx B. Flexible smoothing with B-splines and penalties (with discussion). Statist. Sci. 11 (1996) 89-121
    • (1996) Statist. Sci. , vol.11 , pp. 89-121
    • Eilers, P.1    Marx, B.2
  • 8
    • 33745607855 scopus 로고    scopus 로고
    • Bayesian alignment using hierarchical models, with applications in protein bioinformatics
    • Green P.J., and Mardia K.V. Bayesian alignment using hierarchical models, with applications in protein bioinformatics. Biometrika 93 2 (2006) 235-254
    • (2006) Biometrika , vol.93 , Issue.2 , pp. 235-254
    • Green, P.J.1    Mardia, K.V.2
  • 10
    • 0001354983 scopus 로고    scopus 로고
    • Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion
    • Hurvich C.M., Simonoff J.S., and Tsai C.L. Smoothing parameter selection in nonparametric regression using an improved Akaike information criterion. J. Roy. Statist. Soc. Ser. B 60 (1998) 271-293
    • (1998) J. Roy. Statist. Soc. Ser. B , vol.60 , pp. 271-293
    • Hurvich, C.M.1    Simonoff, J.S.2    Tsai, C.L.3
  • 11
    • 3242876379 scopus 로고    scopus 로고
    • Selection of smoothing parameters in B-spline nonparametric regression models using information criteria
    • Imoto S., and Konishi S. Selection of smoothing parameters in B-spline nonparametric regression models using information criteria. Ann. Inst. Statist. Math. 55 4 (2003) 671-687
    • (2003) Ann. Inst. Statist. Math. , vol.55 , Issue.4 , pp. 671-687
    • Imoto, S.1    Konishi, S.2
  • 12
    • 0001699048 scopus 로고    scopus 로고
    • Principal component models for sparse functional data
    • James G., Hastie T., and Sugar C. Principal component models for sparse functional data. Biometrika 87 (2000) 587-602
    • (2000) Biometrika , vol.87 , pp. 587-602
    • James, G.1    Hastie, T.2    Sugar, C.3
  • 14
    • 0000512689 scopus 로고    scopus 로고
    • Generalized information criteria in model selection
    • Konishi S., and Kitagawa G. Generalized information criteria in model selection. Biometrika 83 4 (1996) 875-890
    • (1996) Biometrika , vol.83 , Issue.4 , pp. 875-890
    • Konishi, S.1    Kitagawa, G.2
  • 16
    • 37249020439 scopus 로고    scopus 로고
    • Discrete functional data analysis
    • Physica-Verlag, Springer, Berlin
    • Mizuta M. Discrete functional data analysis. Proceedings in Computational Statistics 2006 (2006), Physica-Verlag, Springer, Berlin 361-369
    • (2006) Proceedings in Computational Statistics 2006 , pp. 361-369
    • Mizuta, M.1
  • 19
    • 0001597980 scopus 로고
    • Estimating the mean and covariance structure nonparametrically when the data are curves
    • Rice J.A., and Silverman B.W. Estimating the mean and covariance structure nonparametrically when the data are curves. J. Roy. Statist. Soc. Ser. B 53 (1991) 233-243
    • (1991) J. Roy. Statist. Soc. Ser. B , vol.53 , pp. 233-243
    • Rice, J.A.1    Silverman, B.W.2
  • 20
    • 0035106736 scopus 로고    scopus 로고
    • Nonparametric mixed effects models for unequally sampled noisy curves
    • Rice J.A., and Wu C.O. Nonparametric mixed effects models for unequally sampled noisy curves. Biometrics 57 (2001) 253-259
    • (2001) Biometrics , vol.57 , pp. 253-259
    • Rice, J.A.1    Wu, C.O.2
  • 21
    • 0041111614 scopus 로고    scopus 로고
    • An analysis of paediatric cd4 counts for acquired immune deficiency syndrome using flexible random curves
    • Shi M., Weiss R., and Taylor J. An analysis of paediatric cd4 counts for acquired immune deficiency syndrome using flexible random curves. Appl. Statist. 45 (1996) 151-164
    • (1996) Appl. Statist. , vol.45 , pp. 151-164
    • Shi, M.1    Weiss, R.2    Taylor, J.3
  • 22
    • 0030537857 scopus 로고    scopus 로고
    • Smoothed functional principal components analysis by choice of norm
    • Silverman B.W. Smoothed functional principal components analysis by choice of norm. Ann. Statist. 24 (1996) 1-24
    • (1996) Ann. Statist. , vol.24 , pp. 1-24
    • Silverman, B.W.1
  • 23
    • 0031721203 scopus 로고    scopus 로고
    • Regression analysis of multiple protein structures
    • Wu T.D., Hastie T., and Schmidler S.C. Regression analysis of multiple protein structures. J. Comput. Biol. 5 3 (1998) 585-596
    • (1998) J. Comput. Biol. , vol.5 , Issue.3 , pp. 585-596
    • Wu, T.D.1    Hastie, T.2    Schmidler, S.C.3
  • 24
    • 33645031408 scopus 로고    scopus 로고
    • Penalized spline models for functional principal component analysis
    • Yao F., and Lee T.C.M. Penalized spline models for functional principal component analysis. J. Roy. Statist. Soc. Ser. B 68 (2006) 3-25
    • (2006) J. Roy. Statist. Soc. Ser. B , vol.68 , pp. 3-25
    • Yao, F.1    Lee, T.C.M.2
  • 25
    • 19744375466 scopus 로고    scopus 로고
    • Functional data analysis for sparse longitudinal data
    • Yao F., Müller H.G., and Wang J.L. Functional data analysis for sparse longitudinal data. J. Amer. Statist. Assoc. 100 (2005) 577-590
    • (2005) J. Amer. Statist. Assoc. , vol.100 , pp. 577-590
    • Yao, F.1    Müller, H.G.2    Wang, J.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.