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subject:"Regressionsanalyse"
~isPartOf:"Discussion papers of interdisciplinary research project 373"
~isPartOf:"Journal of forecasting"
~subject:"Bayes-Statistik"
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Regressionsanalyse
Bayes-Statistik
Estimation theory
252
Schätztheorie
252
Forecasting model
72
Prognoseverfahren
72
Time series analysis
69
Zeitreihenanalyse
69
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58
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Härdle, Wolfgang
14
Carroll, Raymond J.
6
Liang, Hua
6
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3
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3
Golubev, Georgi
3
Müller, Marlene
3
Yang, Lijian
3
Čížek, Pavel
3
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2
Hristache, Marian
2
Iturria, Stephen J.
2
Kim, Woocheol
2
Klemelä, Jussi
2
Mammen, Enno
2
Ruppert, David
2
Sommerfeld, Volker
2
Sperlich, Stefan
2
Tamine, Julien
2
Tripathi, Gautam
2
Tsay, Ruey S.
2
Werwatz, Axel
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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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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Sonderforschungsbereich Quantifikation und Simulation Ökonomischer Prozesse
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Discussion papers of interdisciplinary research project 373
Journal of forecasting
Journal of econometrics
309
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
109
Economics letters
108
CEMMAP working papers / Centre for Microdata Methods and Practice
102
Journal of the American Statistical Association : JASA
99
Econometric theory
94
Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
78
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72
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62
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41
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37
European journal of operational research : EJOR
37
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NBER working paper series
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25
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24
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24
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22
Discussion paper / Humboldt-Universität zu Berlin, Sonderforschungsbereich 373 Quantifikation und Simulation Ökonomischer Prozesse
21
CESifo working papers
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Journal of risk and financial management : JRFM
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ECONIS (ZBW)
65
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1
Mixed-frequency predictive regressions with parameter learning
Leippold, Markus
;
Yang, Hanlin
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 1955-1972
Persistent link: https://www.econbiz.de/10014432824
Saved in:
2
Regularized Poisson regressions predict regional innovation output
Xiang, Li
;
Hu, Xuemei
;
Junwen, Yang
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 2197-2216
Persistent link: https://www.econbiz.de/10014432870
Saved in:
3
Competition can help predict sales
Fortsch, Sima M.
;
Choi, Jeong Hoon
;
Khapalova, Elena A.
- In:
Journal of forecasting
41
(
2022
)
2
,
pp. 331-344
Persistent link: https://www.econbiz.de/10012817763
Saved in:
4
Forecasting Bitcoin volatility : a new insight from the threshold regression model
Zhang, Yaojie
;
He, Mengxi
;
Wen, Danyan
;
Wang, Yudong
- In:
Journal of forecasting
41
(
2022
)
3
,
pp. 633-652
Persistent link: https://www.econbiz.de/10013166172
Saved in:
5
Mixed data sampling regression : parameter selection of smoothed least squares estimator
Toker, Selma
;
Özbay, Nimet
;
Månsson, Kristofer
- In:
Journal of forecasting
41
(
2022
)
4
,
pp. 718-751
Persistent link: https://www.econbiz.de/10013287847
Saved in:
6
Benchmark forecast and error modeling
Chen, Zhao-Guo
;
Wu, Ka Ho
- In:
Journal of forecasting
36
(
2017
)
4
,
pp. 382-394
Persistent link: https://www.econbiz.de/10011860451
Saved in:
7
Forecasting intraday S&P 500 index returns : a functional time series approach
Shang, Han Lin
- In:
Journal of forecasting
36
(
2017
)
7
,
pp. 741-755
Persistent link: https://www.econbiz.de/10011860709
Saved in:
8
The impact of parameter and model uncertainty on market risk predictions from GARCH‐type models
Ardia, David
;
Kolly, Jeremy
;
Trottier, Denis‐Alexandre
- In:
Journal of forecasting
36
(
2017
)
7
,
pp. 808-823
Persistent link: https://www.econbiz.de/10011860735
Saved in:
9
Mincer-Zarnowitz quantile and expectile regressions for forecast evaluations under aysmmetric loss functions
Güler, Kemal
;
Ng, Pin T.
;
Xiao, Zhijie
- In:
Journal of forecasting
36
(
2017
)
6
,
pp. 651-679
Persistent link: https://www.econbiz.de/10011861402
Saved in:
10
Modeling and forecasting aggregate stock market volatility in unstable environments using mixture innovation regressions
Nonejad, Nima
- In:
Journal of forecasting
36
(
2017
)
6
,
pp. 718-740
Persistent link: https://www.econbiz.de/10011861413
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