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subject:"Bootstrap approach"
~isPartOf:"Operations research"
~subject:"Autocorrelation"
~subject:"Statistical distribution"
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Distributionally robust inverse covariance estimation : the Wasserstein shrinkage estimator
Viet Anh Nguyen
;
Kuhn, Daniel
;
Mohajerin Esfahani, Peyman
- In:
Operations research
70
(
2022
)
1
,
pp. 490-515
Persistent link: https://www.econbiz.de/10012820667
Saved in:
2
Subsampling to enhance efficiency in input uncertainty quantification
Lam, Henry
;
Qian, Huajie
- In:
Operations research
70
(
2022
)
3
,
pp. 1891-1913
Persistent link: https://www.econbiz.de/10013366289
Saved in:
3
Technical note: bootstrap-based budget allocation for nested simulation
Zhang, Kun
;
Liu, Guangwu
;
Wang, Shiyu
- In:
Operations research
70
(
2022
)
2
,
pp. 1128-1142
Persistent link: https://www.econbiz.de/10013365858
Saved in:
4
Computation of exact bootstrap confidence intervals : complexity and deterministic algorithms
Bertsimas, Dimitris
;
Sturt, Bradley
- In:
Operations research
68
(
2020
)
3
,
pp. 949-964
Persistent link: https://www.econbiz.de/10012234527
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5
Using experts' noisy quantile judgments to quantify risks : theory and application to agribusiness
Bansal, Saurabh
;
Gutierrez, Genaro J.
;
Keiser, John R.
- In:
Operations research
65
(
2017
)
5
,
pp. 1115-1130
Persistent link: https://www.econbiz.de/10011757251
Saved in:
6
Tail analysis without parametric models : a worst-case perspective
Lam, Henry
;
Mottet, Clementine
- In:
Operations research
65
(
2017
)
6
,
pp. 1696-1711
Persistent link: https://www.econbiz.de/10011777905
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