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Search: subject_exact:"Aggregation bias"
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International journal of forecasting
The American economic review
Journal of economic theory
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European journal of operational research : EJOR
50
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1
Aggregating qualitative district-level campaign assessments to forecast election results : evidence from Japan
Umeda, Michio
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 956-966
Persistent link: https://www.econbiz.de/10014465169
Saved in:
2
On the evaluation of hierarchical forecasts
Athanasopoulos, George
;
Kourentzes, Nikolaos
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1502-1511
Persistent link: https://www.econbiz.de/10014465310
Saved in:
3
A disaster response model driven by spatial-temporal forecasts
Nikolopoulos, Konstantinos
;
Petropoulos, Fotios
; …
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 1214-1220
Persistent link: https://www.econbiz.de/10013349778
Saved in:
4
Bagging weak predictors
Hillebrand, Eric
;
Lukas, Manuel
;
Wei, Wei
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 237-254
Persistent link: https://www.econbiz.de/10012692700
Saved in:
5
Dimensionality reduction in forecasting with temporal hierarchies
Nystrup, Peter
;
Lindström, Erik
;
Møller, Jan K.
; …
- In:
International journal of forecasting
37
(
2021
)
3
,
pp. 1127-1146
Persistent link: https://www.econbiz.de/10012794823
Saved in:
6
Minimizing post-shock forecasting error through aggregation of outside information
Lin, Jilei
;
Eck, Daniel J.
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1710-1727
Persistent link: https://www.econbiz.de/10013274333
Saved in:
7
Using aggregated relational data to feasibly identify network structure without network data
Breza, Emily
;
Chandrasekhar, Arun G.
;
McCormick, Tyler H.
; …
- In:
The American economic review
110
(
2020
)
8
,
pp. 2454-2484
Persistent link: https://www.econbiz.de/10012430853
Saved in:
8
Questioning the news about economic growth : sparse forecasting using thousands of news-based sentiment values
Ardia, David
;
Bluteau, Keven
;
Boudt, Kris
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1370-1386
Persistent link: https://www.econbiz.de/10012305351
Saved in:
9
Machine learning for regularized survey forecast combination : partially-egalitarian LASSO and its derivatives
Diebold, Francis X.
;
Shin, Minchul
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1679-1691
Persistent link: https://www.econbiz.de/10012305515
Saved in:
10
Improving time series forecasting: an approach combining bootstrap aggregation, clusters and exponential smoothing
Dantas, Tiago Mendes
;
Oliveira, Fernando Luiz Cyrino
- In:
International journal of forecasting
34
(
2018
)
4
,
pp. 748-761
Persistent link: https://www.econbiz.de/10012031097
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