AN EFFECTIVE METHOD FOR HIGH-DIMENSIONAL LOG-DENSITY ANOVA ESTIMATION, WITH APPLICATION TO NONPARAMETRIC GRAPHICAL MODEL BUILDING
暂无分享,去创建一个
[1] N. L. Johnson,et al. Multivariate Analysis , 1958, Nature.
[2] Tom Leonard. Density Estimation, Stochastic Processes and Prior Information , 1978 .
[3] B. Silverman,et al. On the Estimation of a Probability Density Function by the Maximum Penalized Likelihood Method , 1982 .
[4] G. Wahba. Spline models for observational data , 1990 .
[5] D. Cox,et al. Asymptotic Analysis of Penalized Likelihood and Related Estimators , 1990 .
[6] Chong Gu. Smoothing Spline Density Estimation: A Dimensionless Automatic Algorithm , 1993 .
[7] Chong Gu,et al. Smoothing spline density estimation: theory , 1993 .
[8] Chong Gu. Smoothing Spline Anova Models , 2002 .
[9] Graham J. Wills,et al. Introduction to graphical modelling , 1995 .
[10] Chong Gu,et al. PENALIZED LIKELIHOOD DENSITY ESTIMATION: DIRECT CROSS-VALIDATION AND SCALABLE APPROXIMATION , 2003 .
[11] Hao Helen Zhang,et al. Component selection and smoothing in smoothing spline analysis of variance models -- COSSO , 2003 .
[12] Hao Helen Zhang,et al. Component selection and smoothing in multivariate nonparametric regression , 2006, math/0702659.