Drought index forecast using ensemble learning |
Jeong, Jihyeon
(Department of Statistics, Kyungpook National University)
Cha, Sanghun (Department of Statistics, Kyungpook National University) Kim, Myojeong (School of Architectural, Civil, Environment, and Energy Engineering, Kyungpook National University) Kim, Gwangseob (School of Architectural, Civil, Environment, and Energy Engineering, Kyungpook National University) Lim, Yoon-Jin (National Institute of Meteorological Sciences) Lee, Kyeong Eun (Department of Statistics, Kyungpook National University) |
1 | Clarke, B. (2003). Comparing bayes model averaging and stacking when model approximation error cannot be ignored. Journal of Machine Learning Research, 4, 683-712. |
2 | Friedman, J. H. and Stuetzle, W. (1981). Projection pursuit regression. Journal of the American Statistical Association, 76, 817-823. DOI |
3 | Huber, P. J. (1964). Robust estimation of a location parameter. The Annals of Mathematical Statistics, 35, 73-101. DOI |
4 | Kwak, S. (2014). Comparison of ensemble pruning methods using Lasso-bagging and WAVE-bagging. Journal of the Korean Data & Information Science Society, 25, 1371-1383. DOI |
5 | Robbins, H. and Monro, S. (1951). A Stochastic approximation method. The Annals of Mathematical Statistics, 22, 400-407. DOI |
6 | Wolpert, D. H. (1999). An efficient method to estimate bagging's generalization error. Machine Learning Journal, 35, 41-55. DOI |
7 | Yoon, S. (2016). Generating high resolution of daily mean temperature using statistical models. Journal of the Korean Data & Information Science Society, 27, 1215-1224. DOI |