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Robust forecasting with exponential and Holt-Winters smoothing
Gelper, Sarah; Fried, Roland; Croux, Christophe - In: Journal of forecasting 29 (2010) 3, pp. 285-300
Persistent link: https://www.econbiz.de/10003962570
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A robust test for threshold-type nonlinearity in multivariate time series analysis
Chan, Wai-Sum; Cheung, Siu-hung; Chow, Wai Kit; Zhang, … - In: Journal of forecasting 34 (2015) 6, pp. 441-454
Persistent link: https://www.econbiz.de/10011342703
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Sparse and robust factor modelling
Croux, Christophe; Exterkate, Peter - 2011
Persistent link: https://www.econbiz.de/10009720758
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A parsimonious approach to stochastic mortality modelling with dependent residuals
Mavros, George; Cairns, Andrew; Kleinow, Torsten; … - 2014
Persistent link: https://www.econbiz.de/10010362818
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Factor-based forecasting in the presence of outliers : are factors better selected and estimated by the median than by the mean?
Kristensen, Johannes Tang - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 18 (2014) 3, pp. 309-338
Persistent link: https://www.econbiz.de/10010384286
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Predictive regression under various degrees of persistence and robust long-horizon regression
Phillips, Peter C. B.; Lee, Ji Hyung - In: Journal of econometrics 177 (2013) 2, pp. 250-264
Persistent link: https://www.econbiz.de/10010255189
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A robust support vector regression with a linear-log concave loss function
Kim, Dohyun; Lee, Chungmok; Hwang, Sangheum; Jeong, Myong K. - In: Journal of the Operational Research Society : OR 67 (2016) 5, pp. 735-742
Persistent link: https://www.econbiz.de/10011517441
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Robust thresholding for Diffusion Index forecast
Le, Vu; Wang, Qing - In: Economics letters 125 (2014) 1, pp. 52-56
Persistent link: https://www.econbiz.de/10010504772
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A New Robust Inference for Predictive Quantile Regression
Cai, Zongwu - 2020
proposes a double-weighted approach to offer a robust inferential theory across all types of persistent regressors. We first …
Persistent link: https://www.econbiz.de/10012834922
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A Robustness of Vector Auto-Regressive Models Performance On Outliers Detection Using Genetic Algorithm
wororomi, jonathan - 2020
In this paper, a robustness of Vector Auto-Regressive (VAR) models parameter will be estimated by using genetic algorithm (GA) on outliers detection. Least Square (LS) estimator has been adopted in GA term to estimate a robust parameters of the VAR models were represented by chromosomes in GA's...
Persistent link: https://www.econbiz.de/10012839733