1 |
Yao, Q. and Tong, H. (1996). Asymmetric least squares regression estimation: A nonparametric approach. Journal of Nonparametric Statistics, 6, 273-292.
DOI
|
2 |
Seok, K. H. (2010). Semi-supervised classification with LS-SVM formulation. Journal of the Korean Data & Information Science Society, 21, 461-470.
|
3 |
Shim, J. and Lee, J. T. (2009). Kernel method for autoregressive data. Journal of the Korean Data & Information Science Society, 20, 949-964.
|
4 |
Shim, J., Seok, K. H. and Hwang, C. (2009). Non-crossing quantile regression via doubly penalized kernel machine. Computational Statistics, 24, 83-94.
DOI
ScienceOn
|
5 |
Suykens, J. A. K. and Vandewalle, J. (1999). Least squares support vector machine classifiers. Neural Processing Letters, 9, 293-300.
DOI
ScienceOn
|
6 |
Taylor, J. W. (2008). Estimating value at risk and expected shortfall using expectiles. Journal of Financial Econometrics, 6, 231-252.
|
7 |
Vapnik, V. (1995). The nature of statistical learning theory, Springer, New York.
|
8 |
Efron, B. (1991). Regression percentiles using asymmetric squared error loss. Statistica Sinica, 1, 93-125.
|
9 |
Haerdle, W. (1989). Applied nonparametric regression, Cambridge University Press, New York.
|
10 |
Hwang, C. (2010a). M-quantile regression using kernel machine technique. Journal of the Korean Data & Information Science Society, 21, 973-981.
|
11 |
Hwang, C. (2010b). Support vector quantile regression for longitudinal data. Journal of the Korean Data & Information Science Society, 21, 309-316.
|
12 |
Craven, P. and Wahba, G. (1979). Smoothing noisy data with spline functions. Numerical Mathematics, 31, 377-403.
|
13 |
Mercer, J. (1909). Functions of positive and negative type and their connection with theory of integral equations. Philosophical Transactions of Royal Society A, 415-446.
|
14 |
Newey, W. K. and Powell, J. L. (1987). Asymmetric least squares estimation and testing. Econometrica, 55, 819-847.
DOI
ScienceOn
|
15 |
Schnabel, S. K. and Eilers, P. H. C. (2009). Optimal expectile smoothing. Computational Statistics and Data Analysis, 53, 4168-4177.
DOI
ScienceOn
|