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isPartOf:"Journal of business & economic statistics : JBES ; a publication of the American Statistical Association"
subject:"Wahrscheinlichkeitsrechnung"
~isPartOf:"Econometric reviews"
~person:"Bai, Jushan"
~source:"econis"
~subject:"Korrelation"
~subject:"Nichtparametrisches Verfahren"
~subject:"Panel"
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Wahrscheinlichkeitsrechnung
Korrelation
Nichtparametrisches Verfahren
Panel
Estimation theory
3
Schätztheorie
3
Panel study
2
Clustering
1
Endogeneity
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Estimation
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Factor analysis
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Generalized linear models
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High-dimensional analysis
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Induktive Statistik
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Inferential theory
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Nonparametric statistics
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Schock
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Schätzung
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Statistical inference
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Unobserved heterogeneity
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factor models
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Bai, Jushan
Li, Qi
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Baltagi, Badi H.
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Gao, Jiti
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Racine, Jeffrey
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5
Hsu, Yu-Chin
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Li, Degui
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Otsu, Taisuke
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Sun, Yiguo
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Juodis, Artūras
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Hansen, Christian Bailey
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Linton, Oliver
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Martins-Filho, Carlos
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Song, Xiaojun
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
Econometric reviews
Journal of econometrics
6
Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics
2
Annals of economics and finance
1
Economics letters
1
Empirical economics : a quarterly journal of the Institute for Advanced Studies
1
Journal of applied econometrics
1
Panel data econometrics : theoretical contributions and empirical applications
1
Syracuse University Center for Policy Research Working Paper
1
The Oxford handbook of panel data
1
The econometrics journal
1
The review of economics and statistics
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ECONIS (ZBW)
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Large-scale generalized linear models for longitudinal data with grouped patterns of unobserved heterogeneity
Ando, Tomohiro
;
Bai, Jushan
- In:
Journal of business & economic statistics : JBES ; a …
41
(
2023
)
3
,
pp. 983-994
Persistent link: https://www.econbiz.de/10014448483
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2
Selecting the regularization parameters in high-dimensional panel data models : consistency and efficiency
Ando, Tomohiro
;
Bai, Jushan
- In:
Econometric reviews
37
(
2018
)
1/5
,
pp. 183-211
Persistent link: https://www.econbiz.de/10012038541
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