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subject:"Scientific modelling"
~person:"Kuhn, Daniel"
~person:"Tu, Yiliu"
~subject:"Robust statistics"
~type:"article"
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Scientific modelling
Robust statistics
Robustes Verfahren
27
Theorie
15
Theory
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Mathematical programming
14
Mathematische Optimierung
14
distributionally robust optimization
9
Decision under uncertainty
8
Entscheidung unter Unsicherheit
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Kuhn, Daniel
Tu, Yiliu
Goerigk, Marc
26
Hertog, Dirk den
25
Bertsimas, Dimitris
22
Wiesemann, Wolfram
17
Delage, Erick
16
Sargent, Thomas J.
13
Schöbel, Anita
13
Ben-Tal, Aharon
12
Hansen, Lars Peter
12
Sim, Melvyn
12
Lam, Henry
10
Poss, Michael
10
Sun, Yixiao
10
Chassein, André
9
Fabozzi, Frank J.
9
Liu, Ming
9
Thiele, Aurélie
9
Bandi, Chaithanya
8
Chu, Chengbin
8
Kim, Jang Ho
8
Kim, Woo Chang
8
Qiu, Ruozhen
8
Sun, Minghe
8
Xu, Huifu
8
Blanchet, Jose
7
Chu, Feng
7
Liers, Frauke
7
Long, Daniel Zhuoyu
7
Ma, Yizhong
7
Morabito, Reinaldo
7
Nohadani, Omid
7
Rustem, Berç
7
Van Aelst, Stefan
7
Zheng, Feifeng
7
Zieliński, Paweł
7
Adulyasak, Yossiri
6
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6
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6
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Management science : journal of the Institute for Operations Research and the Management Sciences
6
International journal of production research
5
Operations research
4
European journal of operational research : EJOR
3
Mathematics of operations research
3
Operations research letters
2
Computational Management Science : CMS
1
INFORMS journal on computing : JOC
1
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Optimal financial decision making under uncertainty
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ECONIS (ZBW)
27
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1
Reliable frequency regulation through vehicle-to-grid : encoding legislation with robust constraints
Lauinger, Dirk
;
Vuille, François
;
Kuhn, Daniel
- In:
Manufacturing & service operations management : M & SOM
26
(
2024
)
2
,
pp. 722-738
Persistent link: https://www.econbiz.de/10014533647
Saved in:
2
On approximations of data-driven chance constrained programs over Wasserstein balls
Chen, Zhi
;
Kuhn, Daniel
;
Wiesemann, Wolfram
- In:
Operations research letters
51
(
2023
)
3
,
pp. 226-233
Persistent link: https://www.econbiz.de/10014374834
Saved in:
3
Bridging Bayesian and minimax mean square error estimation via Wasserstein distributionally robust optimization
Viet Anh Nguyen
;
Shafieezadeh-Abadeh, Soroosh
;
Kuhn, Daniel
- In:
Mathematics of operations research
48
(
2023
)
1
,
pp. 1-37
Persistent link: https://www.econbiz.de/10014312313
Saved in:
4
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:
5
Bayesian robust parameter design for ordered response
Yang, Shijuan
;
Wang, Jianjun
;
Tu, Yiliu
- In:
International journal of production research
60
(
2022
)
12
,
pp. 3630-3650
Persistent link: https://www.econbiz.de/10013499252
Saved in:
6
From data to decisions : distributionally robust optimization is optimal
Parys, Bart P. G. van
;
Mohajerin Esfahani, Peyman
; …
- In:
Management science : journal of the Institute for …
67
(
2021
)
6
,
pp. 3387-3402
Persistent link: https://www.econbiz.de/10012606903
Saved in:
7
Robust parameter design based on Gaussian process with model uncertainty
Feng, Zebiao
;
Wang, Jianjun
;
Ma, Yizhong
;
Tu, Yiliu
- In:
International journal of production research
59
(
2021
)
9
,
pp. 2772-2788
Persistent link: https://www.econbiz.de/10012516258
Saved in:
8
Distributionally robust mechanism design
Koçyiğit, Çağıl
;
Iyengar, Garud
;
Kuhn, Daniel
; …
- In:
Management science : journal of the Institute for …
66
(
2020
)
1
,
pp. 159-189
Persistent link: https://www.econbiz.de/10012156572
Saved in:
9
"Dice"-sion–making under uncertainty : when can a random decision reduce risk?
Delage, Erick
;
Kuhn, Daniel
;
Wiesemann, Wolfram
- In:
Management science : journal of the Institute for …
65
(
2019
)
7
,
pp. 3282-3301
Persistent link: https://www.econbiz.de/10012039992
Saved in:
10
The decision rule approach to optimization under uncertainty : methodology and applications
Georghiou, Angelos
;
Kuhn, Daniel
;
Wiesemann, Wolfram
- In:
Computational Management Science : CMS
16
(
2019
)
4
,
pp. 545-576
Persistent link: https://www.econbiz.de/10012126678
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