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  • Search: subject:"Model selection by marginal likelihoods"
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Year of publication
Subject
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Bayesian econometrics 3 Hodrick-Prescott (HP) smoothers 3 Spatial sales growth data 3 model selection by marginal likelihoods 2 Model selection by marginal likelihoods 1 Multi-normal-gamma distribution 1 multi-normal-gamma distribution 1 multi-normalgamma distribution 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 1
Language
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English 2 Undetermined 1
Author
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Polasek, Wolfgang 3
Institution
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Department of Economics and Finance Research and Teaching, Institut für Höhere Studien (IHS) 1 Rimini Centre for Economic Analysis (RCEA) 1
Published in...
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Economics Series / Department of Economics and Finance Research and Teaching, Institut für Höhere Studien (IHS) 1 Reihe Ökonomie / Economics Series 1 Working Paper Series / Rimini Centre for Economic Analysis (RCEA) 1
Source
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RePEc 2 EconStor 1
Showing 1 - 3 of 3
Cover Image
The Hodrick-Prescott (HP) filter as a Bayesian regression model
Polasek, Wolfgang - 2011
The Hodrick-Prescott (HP) method is a popular smoothing method for economic time series to get a smooth or long-term component of stationary series like growth rates. We show that the HP smoother can be viewed as a Bayesian linear model with a strong prior using differencing matrices for the...
Persistent link: https://www.econbiz.de/10010290998
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Cover Image
The Hodrick-Prescott (HP) Filter as a Bayesian Regression Model
Polasek, Wolfgang - Department of Economics and Finance Research and … - 2011
The Hodrick-Prescott (HP) method is a popular smoothing method for economic time series to get a smooth or long-term component of stationary series like growth rates. We show that the HP smoother can be viewed as a Bayesian linear model with a strong prior using differencing matrices for the...
Persistent link: https://www.econbiz.de/10010904375
Saved in:
Cover Image
The Hodrick-Prescott (HP) Filter as a Bayesian Regression Model
Polasek, Wolfgang - Rimini Centre for Economic Analysis (RCEA) - 2011
The Hodrick-Prescott (HP) method is a popular smoothing method for economic time series to get a smooth or long-term component of stationary series like growth rates. We show that the HP smoother can be viewed as a Bayesian linear model with a strong prior using differencing matrices for the...
Persistent link: https://www.econbiz.de/10009364166
Saved in:
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