메뉴 건너뛰기




Volumn 107, Issue 499, 2012, Pages 1201-1216

Minimax and adaptive prediction for functional linear regression

Author keywords

Functional linear model; Minimax rate of convergence; Principal components analysis; Reproducing kernel hilbert space; Spectral decomposition

Indexed keywords


EID: 84870658687     PISSN: 01621459     EISSN: 1537274X     Source Type: Journal    
DOI: 10.1080/01621459.2012.716337     Document Type: Article
Times cited : (170)

References (15)
  • 2
    • 33847349358 scopus 로고    scopus 로고
    • Prediction in Functional Linear Regression
    • [1201,1204,1206]
    • Cai, T., and Hall, P. (2006), "Prediction in Functional Linear Regression," The Annals of Statistics, 34, 2159-2179. [1201,1204,1206]
    • (2006) The Annals of Statistics , vol.34 , pp. 2159-2179
    • Cai, T.1    Hall, P.2
  • 3
    • 0029288068 scopus 로고
    • Nonlinear Solution of Linear Inverse Problems by Wavelet-Vaguelette Decomposition
    • [1201]
    • Donoho, D. L. (1995), "Nonlinear Solution of Linear Inverse Problems by Wavelet-Vaguelette Decomposition," Applied and Computational Harmonic Analysis, 2, 101-126. [1201]
    • (1995) Applied and Computational Harmonic Analysis , vol.2 , pp. 101-126
    • Donoho, D.L.1
  • 5
    • 35348874516 scopus 로고    scopus 로고
    • Methodology and Convergence Rates for Functional Linear Regression
    • [1201]
    • Hall, P., and Horowitz, J. L. (2007), "Methodology and Convergence Rates for Functional Linear Regression," Annals of Statistics, 35, 70-91. [1201]
    • (2007) Annals of Statistics , vol.35 , pp. 70-91
    • Hall, P.1    Horowitz, J.L.2
  • 6
    • 0001247934 scopus 로고
    • A Note on the Use of Principal Components in Regression
    • [1201]
    • Jolliffe, I. T. (1982), "A Note on the Use of Principal Components in Regression," Applied Statistics, 31, 300-303. [1201]
    • (1982) Applied Statistics , vol.31 , pp. 300-303
    • Jolliffe, I.T.1
  • 7
    • 78650166948 scopus 로고    scopus 로고
    • Sparsity in Multiple Kernel Learning
    • [1213]
    • Koltchinskii, V., and Yuan, M. (2010), "Sparsity in Multiple Kernel Learning," The Annals of Statistics, 36, 3660-3695. [1213]
    • (2010) The Annals of Statistics , vol.36 , pp. 3660-3695
    • Koltchinskii, V.1    Yuan, M.2
  • 8
    • 84937392733 scopus 로고    scopus 로고
    • Geometric Parameters of Kernel Machines
    • in COLT 2002, Berlin: Springer, [1205]
    • Mendelson, S. (2002), "Geometric Parameters of Kernel Machines," in COLT 2002. Lecture Notes in Artificial Intelligence (Vol. 2375), Berlin: Springer, pp. 29-43. [1205]
    • (2002) Lecture Notes In Artificial Intelligence , vol.2375 , pp. 29-43
    • Mendelson, S.1
  • 14
    • 19744369661 scopus 로고    scopus 로고
    • Functional Linear Regression Analysis for Longitudinal Data
    • [1201]
    • Yao F., Müller, H., and Wang, J. (2005), "Functional Linear Regression Analysis for Longitudinal Data," The Annals of Statistics, 33, 2873-2903. [1201]
    • (2005) The Annals of Statistics , vol.33 , pp. 2873-2903
    • Yao, F.1    Müller, H.2    Wang, J.3
  • 15
    • 78650085539 scopus 로고    scopus 로고
    • A Reproducing Kernel Hilbert Space Approach to Functional Linear Regression
    • [1204,12s06,1208]
    • Yuan, M., and Cai, T. T. (2010), "A Reproducing Kernel Hilbert Space Approach to Functional Linear Regression," The Annals of Statistics, 38, 3412-3444. [1204,12s06,1208]
    • (2010) The Annals of Statistics , vol.38 , pp. 3412-3444
    • Yuan, M.1    Cai, T.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.