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Inferring the predictability induced by a persistent regressor in a predictive threshold model
Gonzalo, Jesús; Pitarakis, Jean-Yves - 2015
Persistent link: https://www.econbiz.de/10010515364
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An emotional learning-neuro-fuzzy inference approach for optimum training and forecasting of gas consumption estimation models with cognitive data
Azadeh, Mohammad Ali; Asadzadeh, Seyed Mohammad; … - In: Technological forecasting & social change : an … 91 (2015), pp. 47-63
Persistent link: https://www.econbiz.de/10011317278
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Confidence intervals in regressions with estimated factors and idiosyncratic components
Fosten, Jack - In: Economics letters 157 (2017), pp. 71-74
Persistent link: https://www.econbiz.de/10011847312
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Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage
Gefang, Deborah; Koop, Gary; Poon, Aubrey - 2019
Persistent link: https://www.econbiz.de/10012115020
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Variational Bayesian inference in large Vector Autoregressions with hierarchical shrinkage
Gefang, Deborah; Koop, Gary; Poon, Aubrey - 2019
Persistent link: https://www.econbiz.de/10012223665
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Computationally efficient inference in large Bayesian mixed frequency VARs
Gefang, Deborah; Koop, Gary; Poon, Aubrey - In: Economics letters 191 (2020), pp. 1-6
Persistent link: https://www.econbiz.de/10012508486
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Robust inference for diffusion-index forecasts with cross-sectionally dependent data
Kim, Min Seong - 2021
Persistent link: https://www.econbiz.de/10012593573
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Exact inference in long-horizon predictive quantile regressions with an application to stock returns
Gungor, Sermin; Luger, Richard - In: Journal of financial econometrics 19 (2021) 4, pp. 746-788
Persistent link: https://www.econbiz.de/10012654991
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Nonparametric estimation and conformal inference of the sufficient forecasting with a diverging number of factors
Yu, Xiufan; Yao, Jiawei; Xue, Lingzhou - In: Journal of business & economic statistics : JBES ; a … 40 (2022) 1, pp. 342-354
Persistent link: https://www.econbiz.de/10012804117
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Maximum likelihood estimation and inference for high dimensional nonlinear factor models
Wang, Fa - 2017
Persistent link: https://www.econbiz.de/10013369930