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Hong, L. Jeff
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INFORMS journal on computing : JOC
2
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
2
Operations research
2
Management science : journal of the Institute for Operations Research and the Management Sciences
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1
Bonferroni-free and indifference-zone-flexible sequential elimination procedures for ranking and selection
Wang, Wenyu
;
Wan, Hong
;
Chen, Xi
- In:
Operations research
72
(
2024
)
5
,
pp. 2119-2134
Persistent link: https://www.econbiz.de/10015361770
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2
Knockout-tournament procedures for large-scale ranking and selection in parallel computing environments
Zhong, Ying
;
Hong, L. Jeff
- In:
Operations research
70
(
2022
)
1
,
pp. 432-453
Persistent link: https://www.econbiz.de/10012820664
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3
Chance constrained selection of the best
Hong, L. Jeff
;
Luo, Jun
;
Nelson, Barry L.
- In:
INFORMS journal on computing : JOC
27
(
2015
)
2
,
pp. 317-334
Persistent link: https://www.econbiz.de/10011291305
Saved in:
4
Ranking and selection with covariates for personalized decision making
Shen, Haihui
;
Hong, L. Jeff
;
Zhang, Xiaowei
- In:
INFORMS journal on computing : JOC
33
(
2021
)
4
,
pp. 1500-1519
Persistent link: https://www.econbiz.de/10012796942
Saved in:
5
Solving large-scale fixed-budget ranking and selection problems
Hong, L. Jeff
;
Jiang, Guangxin
;
Zhong, Ying
- In:
INFORMS journal on computing : JOC ; charting new …
34
(
2022
)
6
,
pp. 2930-2949
Persistent link: https://www.econbiz.de/10014326320
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6
Speeding up Paulson's procedure for large-scale problems using parallel computing
Zhong, Ying
;
Liu, Shaoxuan
;
Luo, Jun
;
Hong, L. Jeff
- In:
INFORMS journal on computing : JOC ; charting new …
34
(
2022
)
1
,
pp. 586-606
Persistent link: https://www.econbiz.de/10013361321
Saved in:
7
The (surprising) sample optimality of greedy procedures for large-scale ranking and selection
Li, Zaile
;
Fan, Weiwei
;
Hong, L. Jeff
- In:
Management science : journal of the Institute for …
71
(
2025
)
2
,
pp. 1238-1259
Persistent link: https://www.econbiz.de/10015410766
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