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~person:"Dijk, Herman K. van"
~person:"Michańków, Jakub"
~subject:"Bayes-Statistik"
~subject:"Estimation"
~subject:"Portfolio selection"
~subject:"machine learning"
~type_genre:"Arbeitspapier"
~type_genre:"Non-commercial literature"
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Dijk, Herman K. van
Michańków, Jakub
Ślepaczuk, Robert
10
Fernández-Villaverde, Jesús
4
Hoogerheide, Lennart F.
4
Nuño, Galo
4
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Maliar, Lilia
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Mean absolute directional loss as a new loss function for machine learning problems in algorithmic investment strategies
Michańków, Jakub
;
Sakowski, Paweł
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014448222
Saved in:
2
Hedging properties of algorithmic investment strategies using long short-term memory and time series models for equity indices
Michańków, Jakub
;
Sakowsk, Paweł
;
Ślepaczuk, Robert
-
2023
Persistent link: https://www.econbiz.de/10014448237
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
Saved in:
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
Saved in:
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