1 Tibshirani, R, "The lasso method for variable selection in the Cox model" 16 : 385-395, 1997
2 Moody, J. E., "The effective number of parameters: An analysis of generalisation and regularisation in nonlinear learning systems, In Advances in Neural Information Processing Systems 4" 847-854, 1992
3 Krishnapuram, B., "Sparse multinomial logistic regression: Fast algorithms and generalization bounds" 27 : 957-968, 2005
4 Craven, P, "Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation" 31 : 377-403, 1979
5 황창하, "Semiparametric support vector machine for accelerated failure time model" 한국데이터정보과학회 21 (21): 765-775, 2010
6 Tibshirani, R, "Regression shrinkage and selection via the lasso" 58 : 267-288, 1996
7 Cox, D. R., "Regression models and life tables (with discussions)" 7 : 187-220, 1972
8 Cox, D. R., "Partial likelihood" 62 : 269-276, 1975
9 심주용, "Kernel method for autoregressive data" 한국데이터정보과학회 20 (20): 949-954, 2009
10 석경하, "Doubly penalized kernel method for heteroscedastic autoregressive data" 한국데이터정보과학회 21 (21): 155-162, 2010
1 Tibshirani, R, "The lasso method for variable selection in the Cox model" 16 : 385-395, 1997
2 Moody, J. E., "The effective number of parameters: An analysis of generalisation and regularisation in nonlinear learning systems, In Advances in Neural Information Processing Systems 4" 847-854, 1992
3 Krishnapuram, B., "Sparse multinomial logistic regression: Fast algorithms and generalization bounds" 27 : 957-968, 2005
4 Craven, P, "Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation" 31 : 377-403, 1979
5 황창하, "Semiparametric support vector machine for accelerated failure time model" 한국데이터정보과학회 21 (21): 765-775, 2010
6 Tibshirani, R, "Regression shrinkage and selection via the lasso" 58 : 267-288, 1996
7 Cox, D. R., "Regression models and life tables (with discussions)" 7 : 187-220, 1972
8 Cox, D. R., "Partial likelihood" 62 : 269-276, 1975
9 심주용, "Kernel method for autoregressive data" 한국데이터정보과학회 20 (20): 949-954, 2009
10 석경하, "Doubly penalized kernel method for heteroscedastic autoregressive data" 한국데이터정보과학회 21 (21): 155-162, 2010
11 Breslow, N., "Covariance analysis of censored survival data" 30 : 89-99, 1974
12 심주용, "Censored Kernel Ridge Regression" 한국데이터정보과학회 16 (16): 1045-1052, 2005
13 Williams, P. M., "Bayesian regularization and pruning using a Laplace prior" 7 : 117-143, 1995
14 Zhang, H. H., "Adaptive lasso for Cox's proportional hazards model" 94 : 691-703, 2007
15 Tsiatis, R., "A heuristic estimate of the asymptotic variance of survival probability in Cox' regression model" Technical report of University of Wisconsin 1978
16 Sauerbrei, W, "A bootstrap resampling procedure for model building: Appli-cation to the Cox regression model" 11 : 2093-2099, 1992