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~subject:"Sampling"
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Sampling
Forecasting model
53
Prognoseverfahren
53
Schätzung
46
Estimation
45
Theorie
36
Theory
35
Stichprobenerhebung
34
Mixed data sampling
33
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24
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23
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17
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17
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17
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15
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mixed data sampling
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11
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11
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Jiang, Cuixia
3
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3
Schumacher, Christian
3
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3
Xu, Qifa
3
Chikamatsu, Kyosuke
2
Ferrara, Laurent
2
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2
Hirakata, Naohisa
2
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2
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2
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2
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2
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2
Trung Hai Le
2
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2
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1
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1
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1
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1
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1
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1
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International journal of forecasting
3
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2
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2
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2
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1
Bank of Japan working paper series
1
CAMA working paper series
1
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1
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1
Emerging markets, finance & trade : a journal of the Society for the Study of Emerging Markets
1
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1
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1
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1
Frontiers of business research in China : selected publications from Chinese universities
1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
The North American journal of economics and finance : a journal of financial economics studies
1
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1
Tourism economics : the business and finance of tourism and recreation
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ECONIS (ZBW)
34
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1
Nowcasting from cross-sectionally dependent panels
Fosten, Jack
;
Nandi, Shaoni
- In:
Journal of applied econometrics
38
(
2023
)
6
,
pp. 898-919
Persistent link: https://www.econbiz.de/10014432199
Saved in:
2
Common drivers of commodity futures?
Dudda, Tom L.
;
Klein, Tony
;
Nguyen, Duc Khuong
; …
-
2022
Persistent link: https://www.econbiz.de/10013454563
Saved in:
3
Tourism and economic growth : multi-country evidence from mixed-frequency Granger causality tests
Enilov, Martin
;
Wang, Yuan
- In:
Tourism economics : the business and finance of tourism …
28
(
2022
)
5
,
pp. 1216-1239
Persistent link: https://www.econbiz.de/10013392307
Saved in:
4
Economic policy uncertainty and stock market volatility in China : evidence from SV-MIDAS-t model
Wang, Nianling
;
Yin, Jiyuan
;
Li, Yong
- In:
International review of financial analysis
92
(
2024
),
pp. 1-8
Persistent link: https://www.econbiz.de/10014492383
Saved in:
5
Predicting financial distress using a MIDAS hazard model : evidence from listed companies in China
Li, Xiangrong
;
Zhang, Maojun
;
Nan, Jiangxia
;
Yang, Qingyuan
- In:
Emerging markets, finance & trade : a journal of the …
60
(
2024
)
4
,
pp. 678-687
Persistent link: https://www.econbiz.de/10014513882
Saved in:
6
Deep learning on mixed frequency data
Xu, Qifa
;
Wang, Zezhou
;
Jiang, Cuixia
;
Liu, Yezheng
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 2099-2120
Persistent link: https://www.econbiz.de/10014432851
Saved in:
7
Threshold
mixed
data
sampling models with a covariate-dependent threshold
Yang, Lixiong
;
Zhang, Chunli
- In:
Applied economics letters
30
(
2023
)
12
,
pp. 1708-1716
Persistent link: https://www.econbiz.de/10014304954
Saved in:
8
Revealing cluster structures based on mixed sampling frequencies
Rho, Yeonwoo
;
Liu, Yun
;
Ahn, Hie Joo
-
2020
Persistent link: https://www.econbiz.de/10012389465
Saved in:
9
High-frequency monitoring of growth-at-risk
Ferrara, Laurent
;
Mogliani, Matteo
;
Sahuc, Jean-Guillaume
-
2020
Persistent link: https://www.econbiz.de/10012534309
Saved in:
10
Threshold
mixed
data
sampling (TMIDAS) regression models with an application to GDP forecast errors
Yang, Lixiong
- In:
Empirical economics : a quarterly journal of the …
62
(
2022
)
2
,
pp. 533-551
Persistent link: https://www.econbiz.de/10012819480
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