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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2022.11
- 수록면
- 1,125 - 1,140 (16page)
- DOI
- 10.7465/jkdi.2022.33.6.1125
이용수
초록· 키워드
오류제보하기
We carry out a study on a natural gas prices data analysis based on a penalized median regression spline estimator with B-spline and total variation penalty. Once we express the estimator by a linear combination of a linear B-splines, the coefficients are estimated by minimizing a penalized check loss function. A coordinate descent algorithm is introduced to handle the special penalty determined by the B-spline coefficients. In implementation, we adopt the form of an univariate weighted absolute function, which is a convex and piecewise linear function, and find its slope to find the minimum of each coordinate. We also illustrate the performance of the proposed method using some numerical studies and data analysis. The performance of the proposed estimator is studied through both numerical simulations and the natural gas prices data sets.
목차
Abstract
1. Introduction
2. Penalized median regression spline estimator
3. Implementation
4. Simulation Studies
5. Natural gas price data analysis
6. Concluding Remarks
References
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UCI(KEPA) : I410-ECN-0101-2023-041-000228996