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1
Bayesian Artificial Neural Networks for frontier efficiency analysis
Tsionas, Efthymios G.
;
Parmeter, Christopher F.
; …
- In:
Journal of econometrics
236
(
2023
)
2
,
pp. 1-14
Persistent link: https://www.econbiz.de/10014365509
Saved in:
2
Bayesian artificial neural networks for frontier efficiency analysis
Tsionas, Efthymios G.
;
Parmeter, Christopher F.
; …
-
2023
-
Substantially revised version
Persistent link: https://www.econbiz.de/10015066491
Saved in:
3
LASSO DEA for small and big data
Chen, Ya
;
Tsionas, Efthymios G.
;
Zelenyuk, Valentin
-
2020
Persistent link: https://www.econbiz.de/10012428213
Saved in:
4
LASSO + DEA for small and big wide data
Chen, Ya
;
Tsionas, Efthymios G.
;
Zelenyuk, Valentin
-
2020
-
Revised version
Persistent link: https://www.econbiz.de/10012428442
Saved in:
5
LASSO+DEA for small and big wide data
Chen, Ya
;
Tsionas, Efthymios G.
;
Zelenyuk, Valentin
- In:
Omega : the international journal of management science
102
(
2021
),
pp. 1-21
Persistent link: https://www.econbiz.de/10012514432
Saved in:
6
Bridging the divide? : Bayesian artificial neural networks for frontier efficiency analysis
Tsionas, Efthymios G.
;
Parameter, Christopher F.
; …
-
2021
Persistent link: https://www.econbiz.de/10013256898
Saved in:
7
Testing for optimization behavior in production when data is with measurement errors : a Bayesian approach
Tsionas, Efthymios G.
;
Zelenyuk, Valentin
-
2022
Persistent link: https://www.econbiz.de/10013258107
Saved in:
8
Non-linearities and chaos : the case of the Greek economy
Tsionas, Efthymios G.
- In:
Economic bulletin : a quarterly economic review
(
1991
),
pp. 25-32
Persistent link: https://www.econbiz.de/10001167046
Saved in:
9
Clustering and meta-envelopment in data envelopment analysis
Tsionas, Efthymios G.
- In:
European journal of operational research : EJOR
304
(
2023
)
2
,
pp. 763-778
Persistent link: https://www.econbiz.de/10013534564
Saved in:
10
Minimax regret priors for efficiency estimation
Tsionas, Efthymios G.
- In:
European journal of operational research : EJOR
309
(
2023
)
3
,
pp. 1279-1285
Persistent link: https://www.econbiz.de/10014435011
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