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  • Search: subject:"Prior sensitivity analysis"
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Year of publication
Subject
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Global vector autoregressions 5 forecasting 5 prior sensitivity analysis 5 Bayes-Statistik 4 Bayesian inference 4 Forecasting model 4 Prognoseverfahren 4 Sensitivity analysis 4 Sensitivitätsanalyse 4 Theorie 4 Theory 4 Economic forecast 3 Estimation 3 Schätzung 3 VAR model 3 VAR-Modell 3 Wirtschaftsprognose 3 Economic indicator 2 Welt 2 Wirtschaftsindikator 2 World 2 Anleihe 1 Bayesian predictive regression 1 Bond 1 Bond risk premia 1 Capital income 1 Cointegration 1 Equity-premium predictability 1 Forecast 1 Kapitaleinkommen 1 Kointegration 1 Maximum a posteriori 1 Predictor selection 1 Prior sensitivity analysis 1 Prognose 1 Regression analysis 1 Regressionsanalyse 1 Risikoprämie 1 Risk premium 1
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Online availability
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Free 4 Undetermined 2
Type of publication
All
Book / Working Paper 4 Article 2
Type of publication (narrower categories)
All
Article in journal 2 Aufsatz in Zeitschrift 2 Graue Literatur 2 Non-commercial literature 2 Arbeitspapier 1 Conference Paper 1 Conference paper 1 Konferenzbeitrag 1 Working Paper 1
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Language
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English 5 Undetermined 1
Author
All
Feldkircher, Martin 5 Huber, Florian 5 Crespo Cuaresma, Jesús 3 Crespo-Cuaresma, Jesus 2 Feng, Guanhao 1 Polson, Nicholas G. 1
Institution
All
European Regional Science Association 1
Published in...
All
54th Congress of the European Regional Science Association: "Regional development & globalisation: Best practices", 26-29 August 2014, St. Petersburg, Russia 1 ERSA conference papers 1 Journal of applied econometrics 1 The journal of asset management 1 Working paper 1
Source
All
ECONIS (ZBW) 4 EconStor 1 RePEc 1
Showing 1 - 6 of 6
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Regularizing Bayesian predictive regressions
Feng, Guanhao; Polson, Nicholas G. - In: The journal of asset management 21 (2020) 7, pp. 591-608
Persistent link: https://www.econbiz.de/10012421072
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Forecasting with Bayesian global vector autoregressive models: A comparison of priors
Huber, Florian; Crespo-Cuaresma, Jesus; Feldkircher, Martin - 2014
This paper puts forward a Bayesian version of the global vector autoregressive model (B-GVAR) that accommodates international linkages across countries in a system of vec- tor autoregressions. We compare the predictive performance of B-GVAR models for the one- and four-quarter ahead forecast...
Persistent link: https://www.econbiz.de/10011399901
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Cover Image
Forecasting with Bayesian Global Vector Autoregressions
Huber, Florian; Crespo-Cuaresma, Jesus; Feldkircher, Martin - European Regional Science Association - 2014
This paper puts forward a Bayesian version of the global vector autoregressive model (B-GVAR) that accommodates international linkages across countries in a system of vec- tor autoregressions. We compare the predictive performance of B-GVAR models for the one- and four-quarter ahead forecast...
Persistent link: https://www.econbiz.de/10011075917
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Forecasting with Bayesian global vector autoregressive models : a comparison of priors
Crespo Cuaresma, Jesús; Feldkircher, Martin; Huber, Florian - 2014
Persistent link: https://www.econbiz.de/10010359435
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Forecasting with Bayesian global vector autoregressive models : a comparison of priors
Crespo Cuaresma, Jesús; Feldkircher, Martin; Huber, Florian - 2013 - This version: November 2013
This paper puts forward a Bayesian version of the global vector autoregressive model (B-GVAR) that accommodates international linkages across countries in a system of vec-tor autoregressions. We compare the predictive performance of B-GVAR models for the one- and four-quarter ahead forecast...
Persistent link: https://www.econbiz.de/10011505823
Saved in:
Cover Image
Forecasting with global vector autoregressive models : a Bayesian approach
Crespo Cuaresma, Jesús; Feldkircher, Martin; Huber, Florian - In: Journal of applied econometrics 31 (2016) 7, pp. 1371-1391
Persistent link: https://www.econbiz.de/10011687530
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