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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2009.10
- 수록면
- 925 - 931 (7page)
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초록· 키워드
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In this paper we propose a variance function estimation method for replicated data based on averages of squared residuals obtained from estimated mean function by the Least squares support vector machine. Newton-Raphson method is used to obtain as-sociated parameter vector for the variance function estimation. Furthermore, the cross validation functions are introduced to select the hyper-parameters which affect the per-formance of the proposed estimation method. Experimental results are then presented which illustrate the performance of the proposed procedure.
목차
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참고문헌 (14)
참고문헌 신청
1. [학술지(정기간행물)] - nderson, T. G / 1997 / Estimating continuous-time stochastic volatility models of short-term Interest Rate / Journal of Econometrics 77 : 343 ~ 377
2. [학술지(정기간행물)] - Craven, P / 1979 / Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation / Numerical Mathematics 31 : 377 ~ 403
3. [단행본] - Green, P. J / 1995 / Nonparametric regression and generalized linear models / Chap-man & Hall
4. [학술지(정기간행물)] - Kimeldorf, G. S / 1971 / Some results on Tchebycheffan spline functions / Journal of Mathematical Analysis and its Applications 33 : 82 ~ 95
5. [학술지(정기간행물)] - Liu, A / 2007 / Smoothing spline estimation of variance functions / Journal of Computational and Graphical Statistics 16 : 312 ~ 329
2. [학술지(정기간행물)] - Craven, P / 1979 / Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation / Numerical Mathematics 31 : 377 ~ 403
3. [단행본] - Green, P. J / 1995 / Nonparametric regression and generalized linear models / Chap-man & Hall
4. [학술지(정기간행물)] - Kimeldorf, G. S / 1971 / Some results on Tchebycheffan spline functions / Journal of Mathematical Analysis and its Applications 33 : 82 ~ 95
5. [학술지(정기간행물)] - Liu, A / 2007 / Smoothing spline estimation of variance functions / Journal of Computational and Graphical Statistics 16 : 312 ~ 329
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UCI(KEPA) : I410-ECN-0101-2018-041-001388716