Forecasting using predictive likelihood model averaging
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Publication:1929119
DOI10.1016/j.econlet.2005.12.017zbMath1254.91668OpenAlexW2085430754MaRDI QIDQ1929119
George Kapetanios, Vincent Labhard, Simon Price
Publication date: 7 January 2013
Published in: Economics Letters (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10419/62824
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84) Statistical methods; economic indices and measures (91B82)
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Cites Work
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- Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
- A Bayesian analysis of the minimum AIC procedure
- Predictive likelihood: A review. With comments and a rejoinder by the author
- Information criteria for selecting possibly misspecified parametric models
- Approximate predictive likelihood
- A Bayesian extension of the minimum AIC procedure of autoregressive model fitting
- Comparison of Akaike information criterion and consistent Akaike information criterion for model selection and statistical inference from capture-recapture studies
- Forecast Combination and Model Averaging Using Predictive Measures
- On Information and Sufficiency
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