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  • Search: subject:"Model Selection Criteria"
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Year of publication
Subject
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model selection criteria 7 Model Selection Criteria 4 Model selection criteria 4 Reduced rank models 3 component-wise boosting 3 large datasets 3 variable selection 3 Autoregressive Process 2 Cross Validation 2 Forecasting model 2 Inflation Forecasting 2 Lag Order Determination 2 Neural networks 2 Nonlinear time series models 2 Prognoseverfahren 2 Statistical Decision Theory 2 forecasting 2 forecasting accuracy 2 information criterion 2 macroeconomic forecasting 2 misspecified estimation 2 qualitative choice models 2 Autoregressive process 1 Decision theory 1 Deutschland 1 EU countries 1 EU-Staaten 1 Economic forecast 1 Entscheidungstheorie 1 Estimation 1 Euro area 1 Eurozone 1 Frühindikator 1 Germany 1 Inflation 1 Leading indicator 1 Macroeconomic forecasting 1 Nonlinear autocorrelograms 1 Nonlinear partial autocorrelograms 1 Polynomial approximations 1
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Online availability
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Free 15
Type of publication
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Book / Working Paper 13 Article 2
Type of publication (narrower categories)
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Working Paper 4 Graue Literatur 2 Non-commercial literature 2 Arbeitspapier 1 Article 1 Konferenzschrift 1
Language
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English 12 Undetermined 3
Author
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Baþçý, Sýdýka 3 Buchen, Teresa 3 Wohlrabe, Klaus 3 Zaman, Asad 3 Anderson, Heather M. 2 Athanasopoulos, George 2 Brownstone, David 2 Kiracý, Arzdar 2 Manganelli, Simone 2 Vahid, Farshid 2 Guillén, Osmani T. de C. 1 Guillén, Osmani Teixeira de Carvalho 1 Issler, J.V. 1 Issler, João V. 1 Issler, João Victor 1 Vahid, F. 1
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Institution
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Department of Econometrics and Business Statistics, Monash Business School 5 CESifo 1 Institutet för Näringslivsforskning (IFN) 1 İktisat Bölümü, Bilkent Üniversitesi 1
Published in...
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Monash Econometrics and Business Statistics Working Papers 5 International Econometric Review (IER) 2 CESifo Working Paper 1 CESifo Working Paper Series 1 Departmental Working Papers / İktisat Bölümü, Bilkent Üniversitesi 1 ECB Working Paper 1 IUI Working Paper 1 Working Paper Series / Institutet för Näringslivsforskning (IFN) 1 Working paper series / European Central Bank 1
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Source
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RePEc 9 EconStor 4 ECONIS (ZBW) 2
Showing 1 - 10 of 15
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Selecting models with judgment
Manganelli, Simone - 2018
A statistical decision rule incorporating judgment does not perform worse than a judgmental decision with a given probability. Under model misspecification, this probability is unknown. The best model is the least misspecified, as it is the one whose probability of underperforming the judgmental...
Persistent link: https://www.econbiz.de/10012142032
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Cover Image
Selecting models with judgment
Manganelli, Simone - 2018
A statistical decision rule incorporating judgment does not perform worse than a judgmental decision with a given probability. Under model misspecification, this probability is unknown. The best model is the least misspecified, as it is the one whose probability of underperforming the judgmental...
Persistent link: https://www.econbiz.de/10011921425
Saved in:
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Assessing the macroeconomic forecasting performance of boosting : evidence for the United States, the Euro Area, and Germany ; conference paper
Buchen, Teresa; Wohlrabe, Klaus - 2014
The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...
Persistent link: https://www.econbiz.de/10010491104
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Assessing the Macroeconomic Forecasting Performance of Boosting - Evidence for the United States, the Euro Area, and Germany
Buchen, Teresa; Wohlrabe, Klaus - 2013
The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...
Persistent link: https://www.econbiz.de/10010292498
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Assessing the Macroeconomic Forecasting Performance of Boosting - Evidence for the United States, the Euro Area, and Germany
Buchen, Teresa; Wohlrabe, Klaus - CESifo - 2013
The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...
Persistent link: https://www.econbiz.de/10010627573
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Variance Estimates and Model Selection
Baþçý, Sýdýka; Zaman, Asad; Kiracý, Arzdar - In: International Econometric Review (IER) 2 (2010) 2, pp. 57-72
(PRESS) in the functions of several model selection criteria. Such replacements improve the probability of finding the true …
Persistent link: https://www.econbiz.de/10012610932
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Variance Estimates and Model Selection
Baþçý, Sýdýka; Zaman, Asad; Kiracý, Arzdar - In: International Econometric Review (IER) 2 (2010) 2, pp. 57-72
(PRESS) in the functions of several model selection criteria. Such replacements improve the probability of finding the true …
Persistent link: https://www.econbiz.de/10009228718
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Model selection, estimation and forecasting in VAR models with short-run and long-run restrictions
Athanasopoulos, George; Guillén, Osmani T. de C.; … - Department of Econometrics and Business Statistics, … - 2009
of short-run parameters of a vector autoregressive (VAR) model using model selection criteria. We consider model … selection criteria which have data-dependent penalties for a lack of parsimony, as well as the traditional ones. We suggest a …
Persistent link: https://www.econbiz.de/10005087606
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Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study
Guillén, Osmani Teixeira de Carvalho; Issler, João Victor - Department of Econometrics and Business Statistics, … - 2005
Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic relationships. The first reduces parameter space by imposing long-term...
Persistent link: https://www.econbiz.de/10005087601
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Nonlinear Correlograms and Partial Autocorrelograms
Anderson, Heather M.; Vahid, Farshid - Department of Econometrics and Business Statistics, … - 2003
This paper proposes neural network based measures of predictability in conditional mean, and then uses them to construct nonlinear analogues to autocorrelograms and partial autocorrelograms. In contrast to other measures of nonlinear dependence that rely on nonparametric estimation of densities...
Persistent link: https://www.econbiz.de/10005087615
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