1 Louis, T. A., "Using empirical Bayes methods in biopharmaceutical research" 10 : 811-827, 1991
2 Mukherjee, S, "Support vector method for multivariate density estimation" 659-665, 1999
3 Gunn, S. R., "Support vector machines for classi cation and regression" University of Southampton 1998
4 Carroll, R. J., "Optimal rates of convergence for deconvoluting a density" 83 : 1184-1886, 1988
5 Fan, J., "On the optimal rates of convergence for nonparametric deconvolution problem" 19 : 1257-1272, 1991
6 Hazelton, M. L, "Nonparametric density deconvolution by weighted kernel esti-mators" 19 : 217-228, 2009
7 Eggermont, P., "Nonlinearly smoothed EM density estimation with augmented smoothing parameter selection for nonparametric deconvolution problems" 92 : 1451-1458, 1997
8 Carroll, R. J., "Measurement error in nonlinear models" Chapman and Hall 1995
9 Dilaigle, A, "Frequent problems in calculating integrals and optimizing objective functions: A case study in density estimation" 17 : 349-355, 2007
10 Hall, P., "Discrete-transform approach to deconvolution problems" 92 : 135-148, 2005
1 Louis, T. A., "Using empirical Bayes methods in biopharmaceutical research" 10 : 811-827, 1991
2 Mukherjee, S, "Support vector method for multivariate density estimation" 659-665, 1999
3 Gunn, S. R., "Support vector machines for classi cation and regression" University of Southampton 1998
4 Carroll, R. J., "Optimal rates of convergence for deconvoluting a density" 83 : 1184-1886, 1988
5 Fan, J., "On the optimal rates of convergence for nonparametric deconvolution problem" 19 : 1257-1272, 1991
6 Hazelton, M. L, "Nonparametric density deconvolution by weighted kernel esti-mators" 19 : 217-228, 2009
7 Eggermont, P., "Nonlinearly smoothed EM density estimation with augmented smoothing parameter selection for nonparametric deconvolution problems" 92 : 1451-1458, 1997
8 Carroll, R. J., "Measurement error in nonlinear models" Chapman and Hall 1995
9 Dilaigle, A, "Frequent problems in calculating integrals and optimizing objective functions: A case study in density estimation" 17 : 349-355, 2007
10 Hall, P., "Discrete-transform approach to deconvolution problems" 92 : 135-148, 2005
11 Mendelsohn, J., "Deconvolution of micro uorometric histograms with B splines" 77 : 748-753, 1982
12 Wang, X., "Deconvolution estimation in measurement error models: The R package decon" 39 (39): 2011
13 Stefanski, L., "Deconvoluting kernel density estimators" 21 : 169-184, 1990
14 Koo, J.-Y., "B-spline deconvolution based on the EM algorithm" 54 : 275-288, 1996
15 Pensky, M., "Adaptive wavelet estimator for nonparametric density deconvolutoin" 27 : 2033-2053, 1999
16 Lee, S., "A note on support vector density estimation for the deconvolution problem" 37 : 328-336, 2008
17 이성호, "A Support Vector Method for the Deconvolution Problem" 한국통계학회 17 (17): 451-457, 2010
18 Liu, M. C, "A Consistent nonparametric density estimator for the deconvolution problem" 17 : 427-438, 1989
19 이성호, "A Note on Deconvolution Estimators when Measurement Errors are Normal" 한국통계학회 19 (19): 517-526, 2012