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Mathematical methods of operations research : ZOR
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ECONIS (ZBW)
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Bayesian analysis of boundary and nearboundary evidence in econometric models with reduced rank
Basturk, Nalan
;
Hoogerheide, Lennart
;
Dijk, Herman K. van
-
2017
Persistent link: https://www.econbiz.de/10011708511
Saved in:
2
Real-time inflation forecasting in a changing world
Groen, Jan J. J.
;
Paap, Richard
;
Ravazzolo, Francesco
-
2010
Persistent link: https://www.econbiz.de/10003920144
Saved in:
3
Combination schemes for turning point predictions
Billio, Monica
;
Casarin, Roberto
;
Ravazzolo, Francesco
; …
-
2012
Persistent link: https://www.econbiz.de/10009524199
Saved in:
4
Forecasting commodity currencies : the role of fundamentals with short-lived predictive content
Foroni, Claudia
;
Ravazzolo, Francesco
;
Ribeiro, Pinho J.
-
2015
Persistent link: https://www.econbiz.de/10011391725
Saved in:
5
Optimal portfolio choice under decision-based model combinations
Pettenuzzo, Davide
;
Ravazzolo, Francesco
-
2014
Persistent link: https://www.econbiz.de/10010434558
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6
Combining predictive densities using Bayesian filtering with applications to US economics data
Billio, Monica
(
contributor
)
-
2010
Persistent link: https://www.econbiz.de/10008772588
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7
Implementing the zero lower bound in an estimated regime-switching DSGE model
Binning, Andrew
;
Maih, Junior
-
2016
Persistent link: https://www.econbiz.de/10011449725
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8
Applying flexible parameter restrictions in Markov-Switching vector autoregression models
Binning, Andrew
;
Maih, Junior
-
2015
Persistent link: https://www.econbiz.de/10011410311
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9
Risk filtering and risk-averse control of Markovian systems subject to model uncertainty
Bielecki, Tomasz R.
;
Cialenco, Igor
;
Ruszczyński, …
- In:
Mathematical methods of operations research : ZOR
98
(
2023
)
2
,
pp. 231-268
Persistent link: https://www.econbiz.de/10014423851
Saved in:
10
Why do people give less weight to advice the further it is from their initial opinion?
Ravazzolo, Francesco
;
Røisland, Øistein
-
2010
Persistent link: https://www.econbiz.de/10003957168
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