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~institution:"HAL"
~institution:"School of Economics and Management, University of Aarhus"
~subject:"forecasting"
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forecasting
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time series
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trends
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continuous time
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nonstandard analysis
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time-use
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HAL
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1
Estimating High-Dimensional
Time
Series Models
Medeiros, Marcelo C.
;
Mendes, Eduardo F.
-
School of Economics and Management, University of Aarhus
-
2012
We study the asymptotic properties of the Adaptive LASSO (adaLASSO) in sparse, high-dimensional, linear
time
…
Persistent link: https://www.econbiz.de/10010851219
Saved in:
2
GDP nowcasting with ragged-edge data : A semi-parametric modelling
Ferrara, Laurent
;
Guegan, Dominique
;
Rakotomarolahy, Patrick
-
HAL
-
2009
parametric modelling of GDP using bridge equations. A real-
time
experience is carried out on Euro area vintage data in order to …
Persistent link: https://www.econbiz.de/10010738546
Saved in:
3
A mathematical proof of the existence of trends in financial
time
series
Fliess, Michel
;
Join, Cédric
-
HAL
-
2009
We are settling a longstanding quarrel in quantitative finance by proving the existence of trends in financial
time
…
Persistent link: https://www.econbiz.de/10008792433
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