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accessRights:"restricted"
subject:"Bootstrap approach"
~person:"Daraio, Cinzia"
~person:"Hsu, Yu-Chin"
~subject:"Künstliche Intelligenz"
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Bootstrap approach
Künstliche Intelligenz
Estimation theory
11
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6
Nonparametric statistics
6
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5
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Daraio, Cinzia
Hsu, Yu-Chin
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3
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3
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Omay, Tolga
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1
Counterfactual treatment effects : estimation and inference
Hsu, Yu-Chin
;
Lai, Tsung-Chih
;
Lieli, Robert P.
- In:
Journal of business & economic statistics : JBES ; a …
40
(
2022
)
1
,
pp. 240-255
Persistent link: https://www.econbiz.de/10012804104
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2
Estimation and inference for distribution and quantile functions in endogenous treatment effect models
Hsu, Yu-Chin
;
Lai, Tsung-Chih
;
Lieli, Robert P.
- In:
Econometric reviews
41
(
2022
)
1
,
pp. 22-50
Persistent link: https://www.econbiz.de/10013167577
Saved in:
3
The use of machine learning in treatment effect estimation
Lieli, Robert P.
;
Hsu, Yu-Chin
;
Reguly, Ágoston
- In:
Econometrics with Machine Learning
,
(pp. 79-109)
.
2022
Persistent link: https://www.econbiz.de/10013447824
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4
A bootstrap approach for bandwidth selection in estimating conditional efficiency measures
Bădin, Luiza
;
Daraio, Cinzia
;
Simar, Léopold
- In:
European journal of operational research : EJOR
277
(
2019
)
2
,
pp. 784-797
Persistent link: https://www.econbiz.de/10012022136
Saved in:
5
Central limit theorems for conditional efficiency measures and tests of the "separability" condition in non‐parametric, two‐stage models of production
Daraio, Cinzia
;
Simar, Léopold
;
Wilson, Paul W.
- In:
The econometrics journal
21
(
2018
)
2
,
pp. 170-191
Persistent link: https://www.econbiz.de/10012166608
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