과제정보
연구 과제 주관 기관 : National Research Foundation of Korea (NRF)
참고문헌
- Buckley, J. and James, I. (1979). Linear regression with censored data. Biometrika, 66, 429-436. https://doi.org/10.1093/biomet/66.3.429
- Chen, K., Shen, J. and Ying, Z. (2005). Rank estimation in partial linear model with censored data. Statistica Sinica, 15, 767-779.
- Cox, D. R. (1972). Regression models and life-tables (with discussion). Journal of the Royal Statistical Society, 34, 187-220.
- Green, P. J. and Silverman, B. W. (1994). Nonparametric regression and generalized linear models, Chapman and Hall, London.
- Gunn, S. (1998). Support vector machines for classification and regression, ISIS Technical Report, Uni- versity of Southampton.
- Jin, Z., Lin, D. Y., Wei, L. J. and Ying, Z. L. (2003). Rank-based inference for the accelerated failure time model. Biometrika, 90, 341-353. https://doi.org/10.1093/biomet/90.2.341
- Jones, M. P. (1997). A class of semiparametric regressions for the accelerated failure time model. Biometrika, 84, 73-84. https://doi.org/10.1093/biomet/84.1.73
- Kalbfleisch, J. D. and Prentice, R. L. (2002). The statistical analysis of failure time data (2nd edn) , Wiley, Hoboken.
- Kaplan, E. L. and Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 66, 484-491.
- Kim, M. S., Park, H. J., Hwang, C. and Shim, J. (2008). Claims reserving via kernel machine. Journal of Korean Data & Information Science Society, 19, 1419-1427.
- Kimeldorf, G. S. and Wahba, G. (1971). Some results on tchebychean spline functions. Journal of Mathematical Analysis and its Applications, 33, 82-95. https://doi.org/10.1016/0022-247X(71)90184-3
- Koul, H., Susarla, V. and Van Ryzin, J. (1981). Regression analysis with randomly right censored data. Annals of Statistics, 9, 1276-1288. https://doi.org/10.1214/aos/1176345644
- Kuhn, H. W. and Tucker, A. W. (1951). Nonlinear programming, Proceedings of 2nd Berkeley Symposium, Berkeley, University of California Press, Berkeley.
- Li, Y., Liu, Y. and Ji, Z. (2007). Quantile regression in reproducing kernel Hilbert spaces. Journal of the American Statistical Association, 102, 255-268. https://doi.org/10.1198/016214506000000979
- Mercer, J. (1909). Functions of positive and negative type and their connection with theory of integral equations. Philosophical Transactions of the Royal Society, A, 415-446.
- Orbe, J., Ferreira, E. and Nunez-Anton, V. (2003). Censored partial regression. Biostatistics, 4, 109-121. https://doi.org/10.1093/biostatistics/4.1.109
- Shim, J. (2005a). Censored kernel ridge regression. Journal of Korean Data & Information Science Society, 16, 1045-1052.
- Shim, J. (2005b). E-SVR using IRWLS Procedure. Journal of Korean Data & Information Science Society, 16, 1087-1094.
- Shim, J. and Seok, K. H. (2008). Kernel Poisson regression for longitudinal data. Journal of Korean Data & Information Science Society, 19, 1353-1360.
- Stute, W. (1993). Consistent estimation under random censorship when covariables are available. Journal of Multivariate Analysis, 45, 89-103. https://doi.org/10.1006/jmva.1993.1028
- Tsiatis, A. A. (1990). Estimating regression parameters using linear rank tests for censored data. Annals of Statistics, 18, 303-328. https://doi.org/10.1214/aos/1176347502
- Vapnik, V. N. (1998). Statistical learning theory, Wiley, New York.
- Wei, L. J., Ying, Z. L. and Lin, D. Y. (1990). Linear regression analysis of censored survival data based on rank tests. Biometrika, 77, 845-851. https://doi.org/10.1093/biomet/77.4.845
- Yuan, M. (2006). GACV for quantile smoothing splines. Computational Statistics and Data Analysis, 50, 813-829. https://doi.org/10.1016/j.csda.2004.10.008
- Zhou, M. (1992). M-estimation in censored linear models. Biometrika, 79, 837-841. https://doi.org/10.1093/biomet/79.4.837