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~subject:"Prognoseverfahren"
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Prognoseverfahren
overdispersion
42
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39
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19
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Barigou, Karim
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Ekheden, Erland
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Forster, Jonathan J.
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Goffard, Pierre-Olivier
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Insurance / Mathematics & economics
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ECONIS (ZBW)
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Lumpy and intermittent retail demand forecasts with score-driven models
Sarlo, Rodrigo
;
Fernandes, Cristiano Augusto Coelho
; …
- In:
European journal of operational research : EJOR
307
(
2023
)
3
,
pp. 1146-1160
Persistent link: https://www.econbiz.de/10014282952
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2
Multivariate time series modeling, estimation and prediction of mortalities
Ekheden, Erland
;
Hössjer, Ola
- In:
Insurance / Mathematics & economics
65
(
2015
),
pp. 156-171
Persistent link: https://www.econbiz.de/10011428648
Saved in:
3
Bayesian mortality forecasting with
overdispersion
Wong, Jackie S. T.
;
Forster, Jonathan J.
;
Smith, Peter W. F.
- In:
Insurance / Mathematics & economics
83
(
2018
),
pp. 206-221
Persistent link: https://www.econbiz.de/10011944142
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4
Bayesian model averaging for mortality forecasting using leave-future-out validation
Barigou, Karim
;
Goffard, Pierre-Olivier
;
Loisel, Stéphane
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 674-690
Persistent link: https://www.econbiz.de/10014465104
Saved in:
5
Forecasting M&A deals with MIDAS count model
Ferreiro, Javier Ojea
;
Gregori, Wildmer Daniel
;
Nardo, …
-
2022
-
This version: July 2022
account past trends in high-frequency (daily) deal data and the decomposition of the conditional
overdispersion
into short …
Persistent link: https://www.econbiz.de/10013473933
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6
M5 competition uncertainty :
overdispersion
, distributional forecasting, GAMLSS, and beyond
Ziel, Florian
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1546-1554
Persistent link: https://www.econbiz.de/10014381160
Saved in:
7
Regularized aggregation of one-off probability predictions
Satopää, Ville A.
- In:
Operations research
70
(
2022
)
6
,
pp. 3558-3580
Persistent link: https://www.econbiz.de/10014307937
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