메뉴 건너뛰기




Volumn 96, Issue 2, 2009, Pages 383-398

Nonparametric additive regression for repeatedly measured data

Author keywords

Additive model; Generalized least square; Nonparametric regression; Repeated measure; Smooth backfitting

Indexed keywords


EID: 66249142283     PISSN: 00063444     EISSN: 14643510     Source Type: Journal    
DOI: 10.1093/biomet/asp015     Document Type: Article
Times cited : (21)

References (24)
  • 2
    • 15844389302 scopus 로고    scopus 로고
    • Local polynomial regression analysis of clustered data
    • CHEN, K. & JIN, Z. (2005). Local polynomial regression analysis of clustered data. Biometrika 92, 59-74.
    • (2005) Biometrika , vol.92 , pp. 59-74
    • CHEN, K.1    JIN, Z.2
  • 4
    • 33746302303 scopus 로고    scopus 로고
    • Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
    • HOOVER, D. R., RICE, J. A., WU, C. O. & YANG, Y (1998). Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data. Biometrika 85, 809-22.
    • (1998) Biometrika , vol.85 , pp. 809-822
    • HOOVER, D.R.1    RICE, J.A.2    WU, C.O.3    YANG, Y.4
  • 5
    • 33745625826 scopus 로고    scopus 로고
    • Understanding nonparametric estimation for clustered data
    • HUGGINS, R. (2006). Understanding nonparametric estimation for clustered data. Biometrika 93, 486-89.
    • (2006) Biometrika , vol.93 , pp. 486-489
    • HUGGINS, R.1
  • 7
    • 1542427460 scopus 로고    scopus 로고
    • Nonparametric function estimation for clustered data when the predictor is measured without/with error
    • LIN, X. & CARROLL, R. J. (2000). Nonparametric function estimation for clustered data when the predictor is measured without/with error. J. Am. Statist. Assoc. 95, 520-34.
    • (2000) J. Am. Statist. Assoc , vol.95 , pp. 520-534
    • LIN, X.1    CARROLL, R.J.2
  • 8
    • 0442312205 scopus 로고    scopus 로고
    • Semiparametric regression for clustered data using generalized estimating equations
    • LIN, X. & CARROLL, R. J. (2001). Semiparametric regression for clustered data using generalized estimating equations. J. Am. Statist. Assoc. 96, 1045-56.
    • (2001) J. Am. Statist. Assoc , vol.96 , pp. 1045-1056
    • LIN, X.1    CARROLL, R.J.2
  • 9
    • 33645030026 scopus 로고    scopus 로고
    • Semiparametric estimation in general repeated measures problems
    • LIN, X. & CARROLL, R. J. (2006). Semiparametric estimation in general repeated measures problems. J. R. Statist. Soc. B 68,68-88.
    • (2006) J. R. Statist. Soc. B , vol.68 , pp. 68-88
    • LIN, X.1    CARROLL, R.J.2
  • 10
    • 1842766126 scopus 로고    scopus 로고
    • Semiparametric and nonparametric regression analysis of longitudinal data (with discussion)
    • LIN, D. Y & YING, Z. (2001). Semiparametric and nonparametric regression analysis of longitudinal data (with discussion). J. Am. Statist. Assoc. 96, 103-26.
    • (2001) J. Am. Statist. Assoc , vol.96 , pp. 103-126
    • LIN, D.Y.1    YING, Z.2
  • 11
    • 3543023777 scopus 로고    scopus 로고
    • Equivalent kernels of smoothing splines in nonparametric regression for longitudinal/clustered data
    • LIN, X., WANG, N., WELSH, A. H. & CARROLL, R. J. (2004). Equivalent kernels of smoothing splines in nonparametric regression for longitudinal/clustered data. Biometrika 91, 177-94.
    • (2004) Biometrika , vol.91 , pp. 177-194
    • LIN, X.1    WANG, N.2    WELSH, A.H.3    CARROLL, R.J.4
  • 12
    • 27744514787 scopus 로고    scopus 로고
    • Estimating semiparametric ARCH(∞) models by kernel smoothing methods
    • LINTON, O. & MAMMEN, E. (2005). Estimating semiparametric ARCH(∞) models by kernel smoothing methods. Econometrica 73, 771-836.
    • (2005) Econometrica , vol.73 , pp. 771-836
    • LINTON, O.1    MAMMEN, E.2
  • 13
    • 36148970012 scopus 로고    scopus 로고
    • Nonparametric transformation to white noise
    • LINTON, O. & MAMMEN, E. (2008). Nonparametric transformation to white noise. J. Economet. 142, 241-64.
    • (2008) J. Economet , vol.142 , pp. 241-264
    • LINTON, O.1    MAMMEN, E.2
  • 15
    • 0038102088 scopus 로고    scopus 로고
    • An optimization interpretation of integration and back-fitting estimators for separable nonparametric models
    • NIELSEN, J. & LINTON, O. (1998). An optimization interpretation of integration and back-fitting estimators for separable nonparametric models. J. R. Statist. Soc. B 60, 217-22.
    • (1998) J. R. Statist. Soc. B , vol.60 , pp. 217-222
    • NIELSEN, J.1    LINTON, O.2
  • 16
    • 0033233743 scopus 로고    scopus 로고
    • The existence and asymptotic properties of a backfitting projection algorithm under weak conditions
    • MAMMEN, E., LINTON, O. & NIELSEN, J. (1999). The existence and asymptotic properties of a backfitting projection algorithm under weak conditions. Ann. Statist. 27, 1443-90.
    • (1999) Ann. Statist , vol.27 , pp. 1443-1490
    • MAMMEN, E.1    LINTON, O.2    NIELSEN, J.3
  • 17
    • 3843083784 scopus 로고    scopus 로고
    • Generalised structured models
    • MAMMEN, E. & NIELSEN, J. P. (2003). Generalised structured models. Biometrika 90, 551-66.
    • (2003) Biometrika , vol.90 , pp. 551-566
    • MAMMEN, E.1    NIELSEN, J.P.2
  • 18
    • 23744448208 scopus 로고    scopus 로고
    • Bandwidth selection for smooth backfitting in additive models
    • MAMMEN, E. & PARK, B. U. (2005). Bandwidth selection for smooth backfitting in additive models. Ann. Statist. 33, 1260-94.
    • (2005) Ann. Statist , vol.33 , pp. 1260-1294
    • MAMMEN, E.1    PARK, B.U.2
  • 19
    • 33847401927 scopus 로고    scopus 로고
    • A simple smooth backfitting method for additive models
    • MAMMEN, E. & PARK, B. U. (2006). A simple smooth backfitting method for additive models. Ann. Statist. 34, 2252-71.
    • (2006) Ann. Statist , vol.34 , pp. 2252-2271
    • MAMMEN, E.1    PARK, B.U.2
  • 21
    • 0034401925 scopus 로고    scopus 로고
    • Nonparametric function estimation of the relationship between two repeatedly measured variables
    • RUCKSTUHL, A., WELSH, A. H. & CARROLL, R. J. (2000). Nonparametric function estimation of the relationship between two repeatedly measured variables. Statist. Sinica 10, 51-71.
    • (2000) Statist. Sinica , vol.10 , pp. 51-71
    • RUCKSTUHL, A.1    WELSH, A.H.2    CARROLL, R.J.3
  • 22
    • 3543029715 scopus 로고    scopus 로고
    • Marginal nonparametric kernel regression accounting for within-subject correlation
    • WANG, N. (2003). Marginal nonparametric kernel regression accounting for within-subject correlation. Biometrika 90, 43-52.
    • (2003) Biometrika , vol.90 , pp. 43-52
    • WANG, N.1
  • 24
    • 50649094291 scopus 로고    scopus 로고
    • Smooth backfitting in generalized additive models
    • YU, K., MAMMEN, E. & PARK, B. (2008). Smooth backfitting in generalized additive models. Ann. Statist. 36, 228-60.
    • (2008) Ann. Statist , vol.36 , pp. 228-260
    • YU, K.1    MAMMEN, E.2    PARK, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.