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  • Search: subject:"Bayesian State Space Model"
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Year of publication
Subject
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Bayes-Statistik 4 Bayesian inference 4 State space model 4 Zustandsraummodell 4 Bayesian State Space Model 3 Bayesian state space model 3 Bayesian state-space model 3 Bruttoinlandsprodukt 3 Business cycle 3 Gross domestic product 3 Konjunktur 3 Potential output 3 Produktionspotenzial 3 Spatial Prior 3 Time series analysis 3 Zeitreihenanalyse 3 Business Cycles 2 Gibbs sampling 2 Model Combination 2 Multi-Level DFM 2 Output Gap Decomposition 2 Theorie 2 Theory 2 Variable Selection 2 business cycle measurement 2 network density 2 output gap 2 potential output 2 production sectors 2 regional integration index 2 Abundance 1 Archipelago 1 Biomass 1 Business Cycle 1 Business cycle theory 1 Business cycles 1 Capacity utilization 1 Chelonia-mydas 1 Decomposition method 1 Dekompositionsverfahren 1
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Online availability
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Free 9 CC license 1
Type of publication
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Book / Working Paper 6 Article 3
Type of publication (narrower categories)
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Working Paper 6 Arbeitspapier 3 Graue Literatur 3 Non-commercial literature 3 Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 7 German 1 Undetermined 1
Author
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Eckert, Florian 3 Mühlebach, Nina 3 Rathke, Alexander 3 Streicher, Sina 3 Albis, Manuel Leonard 2 Kang, Jong Woo 2 Tayag, Mara Claire 2 Balazs, G. 1 Chaloupka, M. 1 Joergensen, S. E . 1
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Published in...
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KOF Working Papers 2 KOF working papers 2 ADB Economics Working Paper Series 1 ADB economics working paper series 1 Empirical economics : a quarterly journal of the Institute for Advanced Studies 1 KOF-Analysen : Konjunkturanalyse: Prognose ... 1
Source
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ECONIS (ZBW) 5 EconStor 3 BASE 1
Showing 1 - 9 of 9
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Estimating regional integration using the Bayesian state-space approach
Albis, Manuel Leonard; Tayag, Mara Claire; Kang, Jong Woo - 2024
Estimating regional integration faces challenges because of incomplete data from missing values and insufficient time spans. A key advantage of a dynamic factor model estimated using the Bayesian state-space approach is its ability to handle missing values and aggregation of the regional...
Persistent link: https://www.econbiz.de/10014549352
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Cover Image
Estimating regional integration using the Bayesian state-space approach
Albis, Manuel Leonard; Tayag, Mara Claire; Kang, Jong Woo - 2024
Estimating regional integration faces challenges because of incomplete data from missing values and insufficient time spans. A key advantage of a dynamic factor model estimated using the Bayesian state-space approach is its ability to handle missing values and aggregation of the regional...
Persistent link: https://www.econbiz.de/10014457750
Saved in:
Cover Image
Improving output gap estimation: A bottom-up approach
Rathke, Alexander; Streicher, Sina - 2023
We propose a multivariate Bayesian state space model to identify potential growth and the output gap consistent with …
Persistent link: https://www.econbiz.de/10014476276
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Global and local components of output gaps
Eckert, Florian; Mühlebach, Nina - In: Empirical economics : a quarterly journal of the … 65 (2023) 5, pp. 2301-2331
Persistent link: https://www.econbiz.de/10014388930
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Cover Image
Improving output gap estimation : a bottom-up approach
Rathke, Alexander; Streicher, Sina - 2023
We propose a multivariate Bayesian state space model to identify potential growth and the output gap consistent with …
Persistent link: https://www.econbiz.de/10014427292
Saved in:
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Die Produktionslücke für die Schweiz : eine Branchen-Perspektive
Rathke, Alexander; Streicher, Sina - In: KOF-Analysen : Konjunkturanalyse: Prognose ... (2022) 3, pp. 71-91
Persistent link: https://www.econbiz.de/10015077225
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Cover Image
Global and local components of output gaps
Eckert, Florian; Mühlebach, Nina - 2021
estimates. To restrict the parameter space in the Bayesian state space model, we apply a stochastic search variable selection …
Persistent link: https://www.econbiz.de/10012888677
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Cover Image
Global and local components of output gaps
Eckert, Florian; Mühlebach, Nina - 2021
estimates. To restrict the parameter space in the Bayesian state space model, we apply a stochastic search variable selection …
Persistent link: https://www.econbiz.de/10012663182
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Using Bayesian state-space modelling to assess the recovery and harvest potential of the Hawaiian green sea turtle stock
Chaloupka, M.; Balazs, G. - 2007
The Hawaiian green sea turtle genetic stock is endemic to the Hawaiian Archipelago. This stock was depleted over the past century mainly due to over-exploitation that ceased during the 1970s following protection under the US Endangered Species Act. Nesting trends suggest the stock has been...
Persistent link: https://www.econbiz.de/10009448252
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