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Volumn 26, Issue 2, 1997, Pages 765-782

GRKPACK: Fitting smoothing spline anova models for exponential families

Author keywords

Generalized cross validation; Newton Raphson iteration; RKPACK; Smoothing parameter; Smoothing spline ANOVA; Unbiased risk estimate

Indexed keywords

CALCULATIONS; ESTIMATION; MATHEMATICAL MODELS; SUBROUTINES;

EID: 0031355667     PISSN: 03610918     EISSN: None     Source Type: Journal    
DOI: 10.1080/03610919708813408     Document Type: Article
Times cited : (13)

References (16)
  • 1
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    • Aronszajn, N.1
  • 3
    • 0001068677 scopus 로고
    • Adaptive spline smoothing in non-Gaussian regression models
    • Gu, C. (1990). Adaptive spline smoothing in non-Gaussian regression models, Journal of the American Statistical Association 85: 801-807.
    • (1990) Journal of the American Statistical Association , vol.85 , pp. 801-807
    • Gu, C.1
  • 4
    • 0001003992 scopus 로고
    • Minimizing GCV/GML scores with multiple smoothing parameters via the Newton method
    • Gu, C. and Wahba, G. (1991). Minimizing GCV/GML scores with multiple smoothing parameters via the Newton method, SIAM J. Sci. Stat. Comput. 12: 383-398.
    • (1991) SIAM J. Sci. Stat. Comput. , vol.12 , pp. 383-398
    • Gu, C.1    Wahba, G.2
  • 5
    • 80053096906 scopus 로고
    • Smoothing spline ANOVA with component-wise Bayesian confidence intervals
    • Gu, C. and Wahba, G. (1993). Smoothing spline ANOVA with component-wise Bayesian confidence intervals, Journal of Computational and Graphical Statistics 2: 97-117.
    • (1993) Journal of Computational and Graphical Statistics , vol.2 , pp. 97-117
    • Gu, C.1    Wahba, G.2
  • 12
    • 0006494794 scopus 로고
    • Structured machine learning for 'soft' classification with smoothing spline ANOVA and stacked tuning, testing and evaluation
    • J. D. Cowan, G. Tesauro and J. Alspector, eds.
    • Wahba, G., Wang, Y., Gu, C., Klein, R. and Klein, B. (1994b). Structured machine learning for 'soft' classification with smoothing spline ANOVA and stacked tuning, testing and evaluation, Advances in Neural Information Processing 6 pp. 415-422. J. D. Cowan, G. Tesauro and J. Alspector, eds.
    • (1994) Advances in Neural Information Processing , vol.6 , pp. 415-422
    • Wahba, G.1    Wang, Y.2    Gu, C.3    Klein, R.4    Klein, B.5
  • 13
    • 0041865172 scopus 로고
    • Smoothing spline ANOVA for exponential families, with application to the Wisconsin Epidemiological Study of Diabetic Retinopathy
    • Wahba, G., Wang, Y., Gu, C., Klein, R. and Klein, B. (1995). Smoothing spline ANOVA for exponential families, with application to the Wisconsin Epidemiological Study of Diabetic Retinopathy, The Annals of Statistics 23: 1865-1895.
    • (1995) The Annals of Statistics , vol.23 , pp. 1865-1895
    • Wahba, G.1    Wang, Y.2    Gu, C.3    Klein, R.4    Klein, B.5
  • 14
  • 15
    • 0348076968 scopus 로고
    • Simulation studies of smoothing parameter estimates and Bayesian confidence intervals in Bernoulli SS ANOVA models
    • Wang, Y., Wahba, G., Chappell, R. and Gu, C. (1995). Simulation studies of smoothing parameter estimates and Bayesian confidence intervals in Bernoulli SS ANOVA models, Communications in Statistics: Simulation and Computation 24: 1037-1059.
    • (1995) Communications in Statistics: Simulation and Computation , vol.24 , pp. 1037-1059
    • Wang, Y.1    Wahba, G.2    Chappell, R.3    Gu, C.4
  • 16
    • 0008333783 scopus 로고    scopus 로고
    • Using smoothing spline anova to examine the relation of risk factors to the incidence and progression of diabetic retinopathy
    • Technical Report 956, University of Wisconsin-Madison, Dept. of Statistics
    • Wang, Y., Wahba, G., Gu, C., Klein, R. and Klein, B. (1996). Using smoothing spline anova to examine the relation of risk factors to the incidence and progression of diabetic retinopathy, Technical Report 956, University of Wisconsin-Madison, Dept. of Statistics. To appear, Statistics in Medicine.
    • (1996) Statistics in Medicine
    • Wang, Y.1    Wahba, G.2    Gu, C.3    Klein, R.4    Klein, B.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.