1 |
Hwang, C. (2010). Support vector quantile regression for longitudinal data. Journal of the Korean Data & Information Science Society, 21, 309-316.
과학기술학회마을
|
2 |
Hwang, C. (2011). Asymmetric least squares regression estimation using weighted least squares support vector machine. Journal of the Korean Data & Information Society, 22, 995-1005.
과학기술학회마을
|
3 |
Hwang, C. and Shin, S. (2010). Estimating GARCH models using kernel machine learning. Journal of the Korean Data & Information Science Society, 21, 419-425.
과학기술학회마을
|
4 |
Koenker, R. and Bassett, G. (1978). Regression quantiles. Econometrica, 46, 33-50.
DOI
ScienceOn
|
5 |
Kuhn, H. W. and Tucker, A. W. (1951). Nonlinear programming. Proceedings of 2nd Berkeley Symposium, University of California Press, Berkeley.
|
6 |
Laird, N. M. and Ware, J. H. (1982). Random effects models for longitudinal data. Biometrics, 56, 89-97.
|
7 |
Breckling, J. and Chambers, R. (1988). M-quantiles. Biometrika, 75, 761-771.
DOI
|
8 |
Chambers, R. and Tzavidis, N. (2006) M-quantile models for small area estimation. Biometrika, 93, 255-268.
DOI
ScienceOn
|
9 |
Cristianini, N. and Shawe-Taylor, J. (2000). An introduction to support vector machines and other kernelbased learning methods, Cambridge University Press.
|
10 |
Harville, D. A. (1976). Extension of the Gauss-Markov theorem to include the estimation of random effects. Annals of Statistics, 4, 384-395.
DOI
|
11 |
Huber, P. J. (1981). Robust statistics, John Wiley & Sons, New York.
|
12 |
Rao, J. N. K. (2003). Small area estimation, John Wiley & Sons, New York.
|
13 |
Scholkopf, B. and Smola, A. (2002). Learning with kernels-support vector machines, regularization, optimization and beyond, MIT Press, Cambridge.
|
14 |
Shim, J. and Hwang, C. (2011). Forecasting volatility via conditional autoregressive value at risk model based on support vector quantile regression. Journal of the Korean Data & Information Society, 22, 589-596.
과학기술학회마을
|
15 |
Vapnik, V. N. (1995). The nature of statistical learning theory, Springer, New York.
|
16 |
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.
|
17 |
Opsomer, J. D., Claesken, G., Ranalli, M. G., Kauermann, G. and Breidt, F. J. (2008). Non-parametric small area estimation using penalized spline regression. Journal of the Royal Statistical Society B, 70, 265-286.
DOI
ScienceOn
|
18 |
Salvati, N., Ranalli, M. G. and Pratesi, M. (2011). Small area estimation of the mean using non-parametric M-quantile regression: A comparison when a linear mixed model does not hold. Journal of Statistical Computation and Simulation, 81, 945-964.
DOI
ScienceOn
|