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Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage
Gefang, Deborah; Koop, Gary; Poon, Aubrey - In: International journal of forecasting 39 (2023) 1, pp. 346-363
Persistent link: https://www.econbiz.de/10014462786
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Illusions in regression analysis
Armstrong, Jon Scott - In: International journal of forecasting 28 (2012) 3, pp. 689-694
Persistent link: https://www.econbiz.de/10009659867
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Hierarchical shrinkage priors for dynamic regressions with many predictors
Korobilis, Dimitris - In: International journal of forecasting 29 (2013) 1, pp. 43-59
Persistent link: https://www.econbiz.de/10009706178
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Macroeconomic forecasting and structural analysis through regularized reduced-rank regression
Bernardini, Emmanuela; Cubadda, Gianluca - In: International journal of forecasting 31 (2015) 3, pp. 682-691
Persistent link: https://www.econbiz.de/10011474523
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Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model
Saha, Moumita; Santara, Anirban; Mitra, Pabitra; … - In: International journal of forecasting 37 (2021) 1, pp. 58-71
Persistent link: https://www.econbiz.de/10012692591
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Conformal prediction interval estimation and applications to day-ahead and intraday power markets
Kath, Christopher; Ziel, Florian - In: International journal of forecasting 37 (2021) 2, pp. 777-799
Persistent link: https://www.econbiz.de/10012792869
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A new approach to estimating earnings forecasting models : robust regression MM-estimation
Li, Quan - In: International journal of forecasting 37 (2021) 2, pp. 1011-1030
Persistent link: https://www.econbiz.de/10012794782
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Macroeconomic forecasting for Australia using a large number of predictors
Panagiotelis, Anastasios; Athanasopoulos, George; … - In: International journal of forecasting 35 (2019) 2, pp. 616-633
Persistent link: https://www.econbiz.de/10012300705
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Benchmarking robustness of load forecasting models under data integrity attacks
Luo, Jian; Tao, Hong; Fang, Shu-Cherng - In: International journal of forecasting 34 (2018) 1, pp. 89-104
Persistent link: https://www.econbiz.de/10012030845
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Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods
Kim, Hyun Hak; Swanson, Norman R. - In: International journal of forecasting 34 (2018) 2, pp. 339-354
Persistent link: https://www.econbiz.de/10012030940