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Semiparametric forecast intervals
Wu, Jason J. - In: Journal of forecasting 31 (2012) 3, pp. 189-228
Persistent link: https://www.econbiz.de/10009489605
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Robust estimation of conditional variance of time series using density power divergences
Park, Jin‐Hong; Sriram, T. N. - In: Journal of forecasting 36 (2017) 6, pp. 703-717
Persistent link: https://www.econbiz.de/10011861411
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Forecasting global solar radiation using a robust regularization approach with mixture kernels
Jiang, He - In: Journal of forecasting 42 (2023) 8, pp. 1989-2010
Persistent link: https://www.econbiz.de/10014432828
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GDP nowcasting with ragged-edge data : a semi-parametric modeling
Ferrara, Laurent; Guégan, Dominique; Rakotomarolahy, … - In: Journal of forecasting 29 (2010) 1/2, pp. 186-199
Persistent link: https://www.econbiz.de/10003951835
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A semiparametric method for predicting bankruptcy
Hwang, Ruey-ching; Cheng, K. F.; Lee, Jack C. - In: Journal of forecasting 26 (2007) 5, pp. 317-342
Persistent link: https://www.econbiz.de/10003530066
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A nonparametric method for asymmetrically extending signal extraction filters
McElroy, Tucker - In: Journal of forecasting 30 (2011) 7, pp. 597-621
Persistent link: https://www.econbiz.de/10009380004
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Forecasting inflation rates using daily data : a nonparametric midas approach
Breitung, Jörg; Roling, Christoph - In: Journal of forecasting 34 (2015) 7, pp. 588-603
Persistent link: https://www.econbiz.de/10011390487
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Improving forecast of binary rare events data : a GAM-based approach
Calabrese, Raffaella; Osmetti, Silvia Angela - In: Journal of forecasting 34 (2015) 3, pp. 230-239
Persistent link: https://www.econbiz.de/10011305247
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On the predictive content of autoregression residuals : a semiparametric, Copula-based approach to time series prediction
Herwartz, Helmut - In: Journal of forecasting 32 (2013) 4, pp. 353-368
Persistent link: https://www.econbiz.de/10009775499
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Nonparametric quantile regression-based classifiers for bankruptcy forecasting
Lorca, Pedro; Landajo, Manuel; Andrés Suárez, Javier de - In: Journal of forecasting 33 (2014) 2, pp. 124-133
Persistent link: https://www.econbiz.de/10010424866