Results 11 to 20 of about 417,068 (301)
The Variance-covariance Method using IOWGA Operator for Tourism Forecast Combination [PDF]
International Journal of Supply and Operations Management, 2014 Three combination methods commonly used in tourism forecasting are the simple average method, the variance-covariance method and the discounted MSFE method.
Liangping Wu, Jian Zhang
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A survey of human judgement and quantitative forecasting methods [PDF]
Royal Society Open Science, 2021 This paper's top-level goal is to provide an overview of research conducted in the many academic domains concerned with forecasting. By providing a summary encompassing these domains, this survey connects them, establishing a common ground for future ...
Maximilian Zellner +3 more
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Frontiers in Energy Research, 2021 In view of the intrinsic complexity of the oil market, crude oil prices are influenced by numerous factors that make forecasting very difficult.
Bai Huang +6 more
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IEEE Open Access Journal of Power and Energy, 2022 We present a winning method of the IEEE DataPort Competition on Day-Ahead Electricity Demand Forecasting: Post-COVID Paradigm. The day-ahead load forecasting approach is based on a novel online forecast combination of multiple point prediction models. It
Florian Ziel
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Forecasting US Inflation in Real Time
Econometrics, 2021 We analyze real-time forecasts of US inflation over 1999Q3–2019Q4 and subsamples, investigating whether and how forecast accuracy and robustness can be improved with additional information such as expert judgment, additional macroeconomic variables, and ...
Chad Fulton, Kirstin Hubrich
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Forecast combinations for intermittent demand [PDF]
Journal of the Operational Research Society, 2015 Intermittent demand is characterised by infrequent demand arrivals, where many periods have zero demand, coupled with varied demand sizes. The dual source of variation renders forecasting for intermittent demand a very challenging task. Many researchers have focused on the development of specialised methods for intermittent demand.
Fotios Petropoulos, Nikolaos Kourentzes
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Model Hybrid for Sales Forecast for the Housing Market of São Paulo
Real Estate Management and Valuation, 2020 This research proposes a combined model of time series for forecasting housing sales in the city of São Paulo. We used data referring to the time series of sales of residential units provided by SECOVI-SP.
Moro Matheus Fernando +2 more
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Forecasting, 2021 The present study employs daily data made available by the STR SHARE Center covering the period from 1 January 2010 to 31 January 2020 for six Viennese hotel classes and their total. The forecast variable of interest is hotel room demand.
Ulrich Gunter
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Online Forecast Combination for Dependent Heterogeneous Data [PDF]
, 2007 This paper studies a procedure to combine individual forecasts that achieve theoretical optimal performance. The results apply to a wide variety of loss functions and no conditions are imposed on the data sequences and the individual forecasts apart from
Sancetta, Alessio
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Forecasting with many predictors - Is boosting a viable alternative? [PDF]
, 2010 This paper evaluates the forecast performance of boosting, a variable selection device, and compares it with the forecast combination schemes and dynamic factor models presented in Stock and Watson (2006).
Buchen, Teresa, Wohlrabe, Klaus
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