论文信息 - Estimating the mean and covariance structure nonparametrically when the data are curves - 字舞流文

Estimating the mean and covariance structure nonparametrically when the data are curves

B. Silverman | J. Rice | Bernard Walter Silverman

[1] D. Inman,et al. Description of seasonal beach changes using empirical eigenfunctions , 1975 .

[2] D. Inman,et al. The statistical prediction of beach changes in southern California , 1980 .

[3] J. Ramsay. When the data are functions , 1982 .

[4] J. Rice. Bandwidth Choice for Nonparametric Regression , 1984 .

[5] C. J. Stone,et al. An Asymptotically Optimal Window Selection Rule for Kernel Density Estimates , 1984 .

[6] David M. Legler,et al. Empirical orthogonal function analyses of tropical Atlantic sea surface temperature and wind stress: 1964–1979 , 1986 .

[7] J. Ramsay,et al. Principal components analysis of sampled functions , 1986 .

[8] J. Hart,et al. Kernel Regression Estimation Using Repeated Measurements Data , 1986 .

[9] O. Bouhaddou,et al. Principal component analysis and interpolation of stochastic processes: methods and simulation , 1987 .

[10] Richard A. Olshen,et al. Gait Analysis and the Bootstrap , 1989 .

[11] M. Hutchinson,et al. ON SPLINE SMOOTHING WITH AUTOCORRELATED ERRORS , 1989 .