1 |
Simpson, D. G., He, X. and Liu, Y. (1998). Comment on: Edge-preserving smoothers for image, In Processing Journal of the American Statistical Association, 93, 544-548
DOI
ScienceOn
|
2 |
Wu, J. S. and Chu, C. K. (1993a). Kernel-type estimators of jump points and values of a regression function, The Annals of Statistics, 21, 1545-1566
DOI
ScienceOn
|
3 |
Wu, J. S. and Chu, C. K. (1993b). Nonparametric function estimation and bandwidth selection for discontinuous regression functions, Statistica Sinica, 3, 557-576
|
4 |
Chu, C. K., Glad. I. K., Godtliebsen, F. and Marron, J. S. (1998). Edge preserving smoothers for image processing (with discussion), Journal of the American Statistical Association, 93, 526-556
DOI
ScienceOn
|
5 |
Gijbels, I., Lambert, A. and Qiu, P. (2007). Jump-preserving regression and smoothing using local linear fitting: A compromise, Annals of the Institute of Statistical Mathematics, 59, 235-272
DOI
|
6 |
Gijbels, I. and Goderniaux, A. C. (2004). Bandwidth selection for change point estimation in non-parametric regression, Technometics, 46, 76-86
DOI
ScienceOn
|
7 |
Hall, P. and Titterington, D. M. (1992). Edge-preserving and peak-preserving smoothing. Technomet-ics, 34, 429-440
DOI
|
8 |
Muller, H. G. (1992). Change-points in nonparametric regression analysis, The Annals of Statistics, 20, 737-761
DOI
|
9 |
Park, D. (2008). Estimation of jump points in nonparametric regression, Communications of the Korean Statistical Society, 15, 899-908
과학기술학회마을
DOI
ScienceOn
|
10 |
Polzehi, J. and Spokoiny, V. G. (2000). Adaptive weights smoothing with applications to image restoration, Journal of the Royal Statistical Society: Series B, 62, 335-354
DOI
ScienceOn
|
11 |
Burt, D. A. (2000). Bandwidth selection conderns for jump point discontinuity preservation in the regression setting using M-smoothers and the extension to hypothesis testing, Ph. D. dissertation, Virginia Polytechnic Institute and State University, Department of Statistics
|
12 |
Qiu, P. (2003). A jump-preserving curve fitting procedure based on local piecewise-linear kernel estimation, Journal of Nonparametric Statistics, 15, 437-453
DOI
ScienceOn
|
13 |
Qiu, P. and Yandell, B. (1998). A local polynomial jump detection algorithm in nonparametric regres-sion, Technometrics, 40, 141-152
DOI
|
14 |
Rue, H., Chu. C. K., Godtliebsen, F. and Marron, J. S. (2002). M-smoother with local linear fit, Journal of Nonparametric Statistics, 14, 155-168
DOI
ScienceOn
|
15 |
Bowman, A. W., Pope, A. B. and Ismail, B. (2006). Detecting discontinuities in nonparametric reg-ression curves and surfaces, Statistics and Computing, 16, 377-390
DOI
|