1 |
Chen, L., Chen, M. and Peng, M. (2009). Conditional variance estimation in heteroscedastic regression models. Journal of Statistical Planning and Inference, 139, 236-245.
DOI
ScienceOn
|
2 |
Fan, J. and Gijbels, I. (1996). Local polynomial modelling and its application, Chapman and Hall, London.
|
3 |
Gasser, T., Sroka, L. and Jennen-Steinmetz, C. (1986). Residual variance and residual pattern in nonlinear regression. Biometrika, 73, 625-634.
DOI
ScienceOn
|
4 |
Gregoire, G. and Hamrouni, Z. (2002). Change point estimation by local linear smoothing. Journal of Multivariate Analysis, 83, 56-83.
DOI
ScienceOn
|
5 |
Hall, P. and Carroll, R. J. (1989). Variance function estimation in regression: The effect of estimating the mean. Journal of the Royal Statistical Society B, 51, 3-14.
|
6 |
Hall, P., Kay, J. W. and Titterington, D. M. (1990). Asymptotically optimal difference-based estimation of variance in nonparametric regression. Biometrika, 77, 521-528.
DOI
ScienceOn
|
7 |
Huh, J. (2005). Nonparametric detection of a discontinuity point in the variance function with the second moment function. Journal of the Korean Data & Information Science Society, 16, 591-601.
과학기술학회마을
|
8 |
Huh, J. (2009). Testing a discontinuity point in the log-variance function based on likelihood. Journal of the Korean Data & Information Science Society, 20, 1-9.
과학기술학회마을
|
9 |
Huh, J. (2010). Detection of a change point based on local-likelihood. Journal of Multivariate Analysis, 101, 1681-1700.
DOI
ScienceOn
|
10 |
Huh, J. (2012a). Bandwidth selection for discontinuity point estimation in density. Journal of the Korean Data & Information Science Society, 23, 79-87.
과학기술학회마을
DOI
ScienceOn
|
11 |
Huh, J. (2012b). Bandwidth selections based on cross-validation for estimation of a discontinuity point in density. Journal of the Korean Data & Information Science Society, 23, 765-775.
과학기술학회마을
DOI
ScienceOn
|
12 |
Kang, K. H. and Huh, J. (2006). Nonparametric estimation of the variance function with a change point. Journal of the Korean Data & Information Science Society, 35, 1-24.
과학기술학회마을
|
13 |
Huh, J. (2013). Estimation of a change point in the variance function based on the -distribution. Preprint.
|
14 |
Huh, J. and Carriere, K. C. (2002). Estimation of regression functions with a discontinuity in a derivative with local polynomial fits. Statistics and Probability Letters, 56, 329-343.
DOI
ScienceOn
|
15 |
Huh, J. and Park, B. U. (2004). Detection of change point with local polynomial fits for random design case. Australian and New Zealand Journal of Statistics, 46, 425-441.
DOI
ScienceOn
|
16 |
Loader, C. R. (1996). Change point estimation using nonparametric regression. Annals of Statistics, 24, 1667-1678.
DOI
ScienceOn
|
17 |
Muller, H G. (1992). Change-points in nonparametric regression analysis. Annals of Statistics, 20, 737-761.
DOI
ScienceOn
|
18 |
Muller, H. G. and Stadtmuller, U. (1987). Estimation of heteroscedasticity in regression analysis. Annals of Statistics, 15, 610-625.
DOI
ScienceOn
|
19 |
Rice, J. (1984). Bandwidth choice for nonparametric regression. Annals of Statistics, 12, 1215-1230.
DOI
ScienceOn
|
20 |
Ruppert, D., Wand, M. P., Holst, U. and Hossjer, O. (1997). Local polynomial variance-function estimation. Technomtrics, 39, 262-273.
DOI
ScienceOn
|
21 |
Yu, K. and Jones, M. C. (2004). Likelihood-based local linear estimation of the conditional variance function. Journal of the American Statistical Association, 99, 139-144.
DOI
ScienceOn
|