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~isPartOf:"International journal of forecasting"
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Forecasting model
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International journal of forecasting
Journal of econometrics
33
Computational Statistics & Data Analysis
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23
Economics Series Working Papers / Department of Economics, Oxford University
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Economics Bulletin
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Economics Series / Department of Economics and Finance Research and Teaching, Institut für Höhere Studien (IHS)
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International Journal of Forecasting
7
Journal of Applied Statistics
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Journal of Multivariate Analysis
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Journal of forecasting
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Metrika
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TEST: An Official Journal of the Spanish Society of Statistics and Operations Research
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Working paper / Department of Econometrics and Business Statistics, Monash University
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1
Understanding survey-based inflation expectations
Berge, Travis J.
- In:
International journal of forecasting
34
(
2018
)
4
,
pp. 788-801
Persistent link: https://www.econbiz.de/10012031107
Saved in:
2
Approximate Bayesian forecasting
Frazier, David T.
;
Maneesoonthorn, Worapree
;
Martin, Gael M.
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 521-539
Persistent link: https://www.econbiz.de/10012300696
Saved in:
3
Evaluating predictive count data distributions in retail sales forecasting
Kolassa, Stephan
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 788-803
Persistent link: https://www.econbiz.de/10011621813
Saved in:
4
False dichotomy alert : improving subjective-probability estimates vs. raising awareness of systemic risk
Tetlock, Philip E.
;
Lu, Yunzi
;
Mellers, Barbara A.
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 1021-1025
Persistent link: https://www.econbiz.de/10014465214
Saved in:
5
Quantifying subjective uncertainty in survey expectations
Krüger, Fabian
;
Pavlova, Lora
- In:
International journal of forecasting
40
(
2024
)
2
,
pp. 796-810
Persistent link: https://www.econbiz.de/10014547207
Saved in:
6
Optimal probabilistic forecasts : when do they work?
Martin, Gael M.
;
Loiza-Maya, Ruben
;
Maneesoonthorn, Worapree
- In:
International journal of forecasting
38
(
2022
)
1
,
pp. 384-406
Persistent link: https://www.econbiz.de/10013347814
Saved in:
7
Boosting
nonlinear predictability of macroeconomic time series
Kauppi, Heikki
;
Virtanen, Timo
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 151-170
Persistent link: https://www.econbiz.de/10012692684
Saved in:
8
Google data in bridge equation models for German GDP
Götz, Thomas B.
;
Knetsch, Thomas A.
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 45-66
Persistent link: https://www.econbiz.de/10012300574
Saved in:
9
Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods
Kim, Hyun Hak
;
Swanson, Norman R.
- In:
International journal of forecasting
34
(
2018
)
2
,
pp. 339-354
Persistent link: https://www.econbiz.de/10012030940
Saved in:
10
Predicting recessions with boosted regression trees
Döpke, Jörg
;
Fritsche, Ulrich
;
Pierdzioch, Christian
- In:
International journal of forecasting
33
(
2017
)
4
,
pp. 745-759
Persistent link: https://www.econbiz.de/10011746903
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