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Forecasting with universal approximators and a learning algorithm
Bredahl Kock, Anders - 2009
Persistent link: https://www.econbiz.de/10003849546
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Forecasting autoregressive time series under changing persistence
Kruse, Robinson - 2010
Persistent link: https://www.econbiz.de/10003988288
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Forecasting covariance matrices : a mixed frequency approach
Halbleib, Roxana; Voev, Valeri - 2011
Persistent link: https://www.econbiz.de/10008807445
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Combining long memory and level shifts in modeling and forecasting of persistent time series
Varneskov, Rasmus Tangsgaard; Perron, Pierre - 2011
Persistent link: https://www.econbiz.de/10009228960
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Factor-based forecasting in the presende of outliers : are factors better selected and estimated by the median than by the mean?
Kristensen, Johannes Tang - 2012
Persistent link: https://www.econbiz.de/10009546012
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Forecasting macroeconomic variables using neural network models and three automated model selection techniques
Bredahl Kock, Anders; Teräsvirta, Timo - 2011
Persistent link: https://www.econbiz.de/10009267762
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Forecasting the global mean sea level, a continuous-time state-space approach
Boldrini, Lorenzo - 2015
Persistent link: https://www.econbiz.de/10011327705
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Parallel sequential Monte Carlo for efficient density combination : the Deco Matlab Toolbox
Casarin, Roberto; Grassi, Stefano; Ravazzolo, Francesco; … - 2013
Persistent link: https://www.econbiz.de/10009730084
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Forecasting medium and large datasets with Vector Autoregressive Moving Average (VARMA) models
Dias, Gustavo Fruet; Kapetanios, George - 2014
Persistent link: https://www.econbiz.de/10010419000
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Deterministic and stochastic trends in the Lee-Carter mortality model
Callot, Laurent; Haldrup, Niels; Kallestrup-Lamb, Malene - 2014
Persistent link: https://www.econbiz.de/10010433248