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isPartOf:"Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics"
subject:"Simulation"
~isPartOf:"Operations research letters"
~subject:"Mathematische Optimierung"
~subject:"Schätzung"
~type:"article"
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Estimation theory
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Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics
Operations research letters
Journal of econometrics
252
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
155
Economics letters
130
Econometric reviews
78
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63
European journal of operational research : EJOR
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International journal of economics and financial issues : IJEFI
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The journal of real estate finance and economics
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Solving nonlinear equations with the convex combination of two positive spectral coefficients
Mohammad, Hassan
- In:
Operations research letters
51
(
2023
)
5
,
pp. 515-520
Persistent link: https://www.econbiz.de/10014495879
Saved in:
2
Parametric error bounds for convex approximations of two-stage mixed-integer recourse models with a random second-stage cost vector
Beesten, E. Ruben van
;
Romeijnders, Ward
- In:
Operations research letters
50
(
2022
)
5
,
pp. 541-547
Persistent link: https://www.econbiz.de/10013449443
Saved in:
3
Distributionally robust modeling of optimal control
Shapiro, Alexander
- In:
Operations research letters
50
(
2022
)
5
,
pp. 561-567
Persistent link: https://www.econbiz.de/10013449446
Saved in:
4
Minimax efficient finite-difference stochastic gradient estimators using black-box function evaluations
Lam, Henry
;
Li, Haidong
;
Zhang, Xuhui
- In:
Operations research letters
49
(
2021
)
1
,
pp. 40-47
Persistent link: https://www.econbiz.de/10012485995
Saved in:
5
On the optimal design of the randomized unbiased Monte Carlo estimators
Cui, Zhenyu
;
Lee, Chihoon
;
Zhu, Lingjiong
;
Zhu, Yunfan
- In:
Operations research letters
49
(
2021
)
4
,
pp. 477-484
Persistent link: https://www.econbiz.de/10012649016
Saved in:
6
A sufficient condition for asymptotically well behaved property of convex polynomials
Li, Xiao-Bing
;
Al-Homidan, Suliman
;
Ansari, Qamrul Hasan
; …
- In:
Operations research letters
49
(
2021
)
4
,
pp. 548-552
Persistent link: https://www.econbiz.de/10012649028
Saved in:
7
Non-nested estimators for the central moments of a conditional expectation and their convergence properties
Cheng, Hong-Fa
;
Zhang, Kun
- In:
Operations research letters
49
(
2021
)
5
,
pp. 625-632
Persistent link: https://www.econbiz.de/10013207415
Saved in:
8
When can we improve on sample average approximation for stochastic optimization?
Anderson, Edward J.
;
Nguyen, Harrison
- In:
Operations research letters
48
(
2020
)
5
,
pp. 566-572
Persistent link: https://www.econbiz.de/10012303409
Saved in:
9
Optimal uncertainty size in distributionally robust inverse covariance estimation
Blanchet, Jose
;
Si, Nian
- In:
Operations research letters
47
(
2019
)
6
,
pp. 618-621
Persistent link: https://www.econbiz.de/10012131899
Saved in:
10
Exact relaxations for parametric robust linear optimization problems
Chuong Thai Doan
- In:
Operations research letters
47
(
2019
)
2
,
pp. 105-109
Persistent link: https://www.econbiz.de/10012003272
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