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Outlier detection in the GARCH (1,1) model
Franses, Philip Hans; Dijk, Dick van - 1999
Persistent link: https://www.econbiz.de/10001495849
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On SETAR non-linearity and forecasting
Clements, Michael P.; Franses, Philip Hans; Smith, Jeremy; … - In: Journal of forecasting 22 (2003) 5, pp. 359-375
Persistent link: https://www.econbiz.de/10001781684
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Selecting a nonlinear time series model using weighted tests of equal forecast accuracy
Dijk, Dick van (contributor);  … - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001783554
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Forecasting industrial production with linear, nonlinear, and structural change models
Siliverstovs, Boriss (contributor);  … - 2003 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001783904
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Selecting a nonlinear time series model using weighted tests od equal forecasr accuracy
Dijk, Dick van; Franses, Philip Hans - In: Oxford bulletin of economics and statistics 65 (2003) suppl, pp. 727-744
Persistent link: https://www.econbiz.de/10001860094
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Forecasting aggregates using panels of nonlinear time series
Fok, Dennis (contributor); Dijk, Dick van (contributor);  … - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002449418
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Forecast comparison of principal component regression and principal covariate regression
Heij, Christiaan (contributor);  … - 2005
Persistent link: https://www.econbiz.de/10003092858
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The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production
Franses, Philip Hans; Dijk, Dick van - In: International journal of forecasting 21 (2005) 1, pp. 87-102
Persistent link: https://www.econbiz.de/10002547141
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Predicting growth regimes foe European countries
Osborn, Denise R.; Sensier, Marianne; Dijk, Dick van - In: The Euro area business cycle : stylized facts and …, (pp. 61-82). 2004
Persistent link: https://www.econbiz.de/10003041477
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Out-of-Sample Comparison of Copula Specifications in Multivariate Density Forecasts
Diks, Cees G. H.; Panchenko, Valentyn; Dijk, Dick van - 2011
We introduce a statistical test for comparing the predictive accuracy of competing copula specifications in multivariate density forecasts, based on the Kullback-Leibler Information Criterion (KLIC). The test is valid under general conditions: in particular it allows for parameter estimation...
Persistent link: https://www.econbiz.de/10014047091