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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"
~isPartOf:"Top : an official journal of the Spanish Society of Statistics and Operations Research"
~subject:"Mathematische Optimierung"
~type:"article"
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Simulation
Mathematische Optimierung
Estimation theory
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Statistical theory
45
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Al-Homidan, Suliman
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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
Top : an official journal of the Spanish Society of Statistics and Operations Research
European journal of operational research : EJOR
45
Journal of econometrics
45
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
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Management science : journal of the Institute for Operations Research and the Management Sciences
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Computers & operations research : and their applications to problems of world concern ; an international journal
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The econometrics journal
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The review of economic studies
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
6
Energy reports
6
Finance research letters
6
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences
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International economic review
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Mathematical methods of operations research
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American journal of agricultural economics
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Oxford bulletin of economics and statistics
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Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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Econometrics : open access journal
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1
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
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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
Mathematical optimization in classification and regression trees
Carrizosa, Emilio
;
Molero-Río, Cristina
;
Romero …
- In:
Top : an official journal of the Spanish Society of …
29
(
2021
)
1
,
pp. 5-33
Persistent link: https://www.econbiz.de/10012498915
Saved in:
8
The effect of regularization in portfolio selection problems
Pagnoncelli, Bernardo K.
;
Canto, Felipe del
;
Cifuentes, …
- In:
Top : an official journal of the Spanish Society of …
29
(
2021
)
1
,
pp. 156-176
Persistent link: https://www.econbiz.de/10012498983
Saved in:
9
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:
10
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
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