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Exponential smoothing with a damped multiplicative trend
Taylor, James W. - In: International journal of forecasting 19 (2003) 4, pp. 715-725
Persistent link: https://www.econbiz.de/10001818902
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Volatility forecasting with smooth transition exponential smoothing
Taylor, James W. - In: International journal of forecasting 20 (2004) 2, pp. 273-286
Persistent link: https://www.econbiz.de/10002033481
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An evaluation of methods for very short-term load forecasting using minute-by-minute British data
Taylor, James W. - In: International journal of forecasting 24 (2008) 4, pp. 645-658
Persistent link: https://www.econbiz.de/10003808342
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Exponentially weighted methods for forecasting intraday time series with multiple seasonal cycles
Taylor, James W. - In: International journal of forecasting 26 (2010) 4, pp. 627-646
Persistent link: https://www.econbiz.de/10008806580
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Density forecasting for the efficient balancing of the generation and consumption of electricity
Taylor, James W. - In: International journal of forecasting 22 (2006) 4, pp. 707-724
Persistent link: https://www.econbiz.de/10003385855
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Exponentially weighted information criteria for selecting among forecasting models
Taylor, James W. - In: International journal of forecasting 24 (2008) 3, pp. 513-524
Persistent link: https://www.econbiz.de/10003764146
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Evaluating quantile-bounded and expectile-bounded interval forecasts
Taylor, James W. - In: International journal of forecasting 37 (2021) 2, pp. 800-811
Persistent link: https://www.econbiz.de/10012792870
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Forecast combinations for value at risk and expected shortfall
Taylor, James W. - In: International journal of forecasting 36 (2020) 2, pp. 428-441
Persistent link: https://www.econbiz.de/10012415069
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A strategic predictive distribution for tests of probabilistic calibration
Taylor, James W. - In: International journal of forecasting 36 (2020) 4, pp. 1380-1388
Persistent link: https://www.econbiz.de/10012546789
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An approximate long-memory range-based approach for value at risk estimation
Meng, Xiaochun; Taylor, James W. - In: International journal of forecasting 34 (2018) 3, pp. 377-388
Persistent link: https://www.econbiz.de/10012030985