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  • Search: subject:"Spatial smoothing of regional data"
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Year of publication
Subject
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Airline Passenger Time Series 1 Airline passenger time series 1 Hodrick-Prescott (HP) Smoothers 1 Hodrick-Prescott (HP) smoothers 1 MCMC estimation 1 MCMCEstimation 1 NUTS: nomenclature of territorial units for statistics 1 Spatial Econometrics 1 Spatial Smoothing of Regional Data 1 Spatial econometrics 1 Spatial smoothing of regional data 1
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Online availability
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Free 1
Type of publication
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Article 1 Book / Working Paper 1
Language
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English 1 Undetermined 1
Author
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Polasek, Wolfgang 2
Institution
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Rimini Centre for Economic Analysis (RCEA) 1
Published in...
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DANUBE: Law and Economics Review 1 Working Paper Series / Rimini Centre for Economic Analysis (RCEA) 1
Source
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RePEc 2
Showing 1 - 2 of 2
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MCMC Estimation of Extended Hodrick-Prescott (HP) Filtering Models
Polasek, Wolfgang - Rimini Centre for Economic Analysis (RCEA) - 2011
The Hodrick-Prescott (HP) method was originally developed to smooth time series, i.e. to get a smooth (long-term) component. We show that the HP smoother can be viewed as a Bayesian linear model with a strong prior for the smoothness component. Extending this Bayesian approach in a linear model...
Persistent link: https://www.econbiz.de/10009018295
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Cover Image
MCMC Estimation of Extended Hodrick-Prescott (HP) Filtering Models
Polasek, Wolfgang - In: DANUBE: Law and Economics Review (2012) 1, pp. 25-52
The Hodrick-Prescott (HP) method was originally developed to smooth time series, i.e. to get a smooth (long-term) component. We show that the HP smoother can be viewed as a Bayesian linear model with a strong prior for the smoothness component. Extending this Bayesian approach in a linear model...
Persistent link: https://www.econbiz.de/10010539192
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