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~person:"Dijk, Herman K. van"
~person:"Rapach, David E."
~subject:"Bayes-Statistik"
~subject:"Estimation"
~subject:"Portfolio selection"
~subject:"machine learning"
~type_genre:"Non-commercial literature"
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Dijk, Herman K. van
Rapach, David E.
Ślepaczuk, Robert
10
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Hoogerheide, Lennart F.
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Nuño, Galo
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Now- and backcasting initial claims with high-dimensional daily internet search-volume data
Borup, Daniel
;
Rapach, David E.
;
Montes Schütte, Erik …
-
2021
Persistent link: https://www.econbiz.de/10012433998
Saved in:
2
Exchange rate prediction with machine learning and a smart carry trade portfolio
Filippou, Ilias
;
Rapach, David E.
;
Taylor, Mark P.
; …
-
2020
Persistent link: https://www.econbiz.de/10012305708
Saved in:
3
Note on neural network sampling for Bayesian inference of mixture processes
Hoogerheide, Lennart F.
(
contributor
); …
-
2007
Persistent link: https://www.econbiz.de/10003484078
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4
On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank : an application of flexible sampling methods using neural networ...
Hoogerheide, Lennart F.
(
contributor
); …
-
2005
Persistent link: https://www.econbiz.de/10002823287
Saved in:
5
On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank : an application of flexible sampling methods using neural networ...
Hoogerheide, Lennart F.
(
contributor
); …
-
2005
Persistent link: https://www.econbiz.de/10003287623
Saved in:
6
Neural network based approximations to posterior densities : a class of flexible sampling methods with applications to reduced rank models
Hoogerheide, Lennart F.
(
contributor
); …
-
2004
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002056010
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