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Volumn 11, Issue 3, 2011, Pages 237-252

Variable selection in additive models by non-negative garrote

Author keywords

Blue shark logbook data; cross validation; non negative garrote; non parametric regression; shrinkage methods; variable selection

Indexed keywords


EID: 79953659636     PISSN: 1471082X     EISSN: 14770342     Source Type: Journal    
DOI: 10.1177/1471082X1001100304     Document Type: Article
Times cited : (20)

References (31)
  • 3
    • 0037449550 scopus 로고    scopus 로고
    • Collapse and conservation of shark populations in the northwest atlantic
    • Baum JK, Myers RA, Kehler DG, Worm B,et al. 2003 Collapse and conservation of shark populations in the northwest atlantic. Science, 299, 389-92.
    • (2003) Science , vol.299 , pp. 389-392
    • Baum, J.K.1    Myers, R.A.2    Kehler, D.G.3    Worm, B.4
  • 5
    • 84874257732 scopus 로고
    • Better subset regression using the nonnegative garrote
    • Breiman L 1995) Better subset regression using the nonnegative garrote. Technometrics, 37, 373-84.
    • (1995) Technometrics , vol.37 , pp. 373-384
    • Breiman, L.1
  • 6
    • 84993778661 scopus 로고    scopus 로고
    • Comment on 'variable selection and function estimation in additive nonparametric regression using a data-based prior
    • Brumback BA, Ruppert D and Wand MP 1999) Comment on 'variable selection and function estimation in additive nonparametric regression using a data-based prior'. Journal of the American Statistical Association, 94, 794-97.
    • (1999) Journal of the American Statistical Association , vol.94 , pp. 794-797
    • Brumback, B.A.1    Ruppert, D.2    Wand, M.P.3
  • 9
    • 1042263216 scopus 로고    scopus 로고
    • Degrees of freedom tests for smoothing splines
    • Cantoni E and Hastie T 2002) Degrees of freedom tests for smoothing splines. Biometrika, 89, 251-63.
    • (2002) Biometrika , vol.89 , pp. 251-263
    • Cantoni, E.1    Hastie, T.2
  • 10
    • 20744449127 scopus 로고    scopus 로고
    • Variable selection for marginal longitudinal generalized linear models
    • Cantoni E, Mills Flemming J and Ronchetti E 2005) Variable selection for marginal longitudinal generalized linear models. Biometrics, 61, 507-14.
    • (2005) Biometrics , vol.61 , pp. 507-514
    • Cantoni, E.1    Mills Flemming, J.2    Ronchetti, E.3
  • 11
    • 0041878437 scopus 로고    scopus 로고
    • Resistant selection of the smoothing parameter for smoothing splines
    • Cantoni E and Ronchetti E 2001) Resistant selection of the smoothing parameter for smoothing splines. Statistics and Computing, 11, 141-46.
    • (2001) Statistics and Computing , vol.11 , pp. 141-146
    • Cantoni, E.1    Ronchetti, E.2
  • 13
    • 0016128505 scopus 로고
    • Regression by leaps and bounds
    • Furnival GM and Wilson RW 1974) Regression by leaps and bounds. Technometrics, 16, 499-511.
    • (1974) Technometrics , vol.16 , pp. 499-511
    • Furnival, G.M.1    Wilson, R.W.2
  • 18
    • 33847350805 scopus 로고    scopus 로고
    • Component selection and smoothing in multivariate nonparametric regression
    • Lin Y and Zhang HH 2006) Component selection and smoothing in multivariate nonparametric regression. Annals of Statistics, 34, 2272-97.
    • (2006) Annals of Statistics , vol.34 , pp. 2272-2297
    • Lin, Y.1    Zhang, H.H.2
  • 19
    • 34147110810 scopus 로고    scopus 로고
    • Cascading effects of the loss of apex predatory sharks from a coastal ocean
    • Myers RA, Baum JK, Shepherd TD, Powers SP,et al. 2007 Cascading effects of the loss of apex predatory sharks from a coastal ocean. Science, 315, 1846-50.
    • (2007) Science , vol.315 , pp. 1846-1850
    • Myers, R.A.1    Baum, J.K.2    Shepherd, T.D.3    Powers, S.P.4
  • 21
    • 3042574880 scopus 로고    scopus 로고
    • AMlet, RAMlet, GAMlet: automatic nonlinear fitting of additive models, robust and generalized, with wavelets
    • Sardy S and Tseng P 2004) AMlet, RAMlet, GAMlet: automatic nonlinear fitting of additive models, robust and generalized, with wavelets. Journal of Computational and Graphical Statistics, 13, 283-309.
    • (2004) Journal of Computational and Graphical Statistics , vol.13 , pp. 283-309
    • Sardy, S.1    Tseng, P.2
  • 24
    • 33845509035 scopus 로고    scopus 로고
    • Generalized additive modeling with implicit variable selection by likelihood-based boosting
    • Tutz G and Binder H 2006) Generalized additive modeling with implicit variable selection by likelihood-based boosting. Biometrics, 62, 961-71.
    • (2006) Biometrics , vol.62 , pp. 961-971
    • Tutz, G.1    Binder, H.2
  • 25
    • 4944226585 scopus 로고    scopus 로고
    • Stable and efficient multiple smoothing parameter estimation for generalized additive models
    • Wood SN 2004) Stable and efficient multiple smoothing parameter estimation for generalized additive models. Journal of the American Statistical Association, 99, 673-86.
    • (2004) Journal of the American Statistical Association , vol.99 , pp. 673-686
    • Wood, S.N.1
  • 27
    • 0037202456 scopus 로고    scopus 로고
    • GAMs with integrated model selection using penalized regression splines and applications to environmental modelling
    • Wood SN and Augustin NH 2002) GAMs with integrated model selection using penalized regression splines and applications to environmental modelling. Ecological Modelling, 157, 157-77.
    • (2002) Ecological Modelling , vol.157 , pp. 157-177
    • Wood, S.N.1    Augustin, N.H.2
  • 28
    • 84862300507 scopus 로고    scopus 로고
    • JMLR: Workshop and Conference Proceedings (AISTATS 2007 Proceedings). Available at
    • Yuan M 2007 Nonnegative garrote component selection in functional ANOVA models. JMLR: Workshop and Conference Proceedings (AISTATS 2007 Proceedings). Available athttp://jmlr.csail.mit.edu/proceedings/.
    • (2007) Nonnegative garrote component selection in functional ANOVA models
    • Yuan, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.