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Importance sampling for jump p...
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Estimation theory
importance sampling
197
Theorie
156
Importance sampling
146
Theory
138
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133
Sampling
132
Stochastischer Prozess
111
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106
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97
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86
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86
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81
sample average approximation
59
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24
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Jiang, Guangxin
3
Koopman, Siem Jan
3
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2
Forbes, Catherine Scipione
2
Frazier, David T.
2
Fu, Michael
2
Lam, Henry
2
Lee, Sanghyeok
2
Lucas, André
2
Martin, Gael M.
2
Panagiotelis, Anastasios
2
Robert, Christian P.
2
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2
Arandjelović, Aleksandar
1
Aswani, Anil
1
Awad, Hernan P.
1
Badouraly Kassim, Laetitia
1
Banachewicz, Konrad
1
Bertsimas, Dimitris
1
Bugg, Caleb
1
Canto, Felipe del
1
Chan, Joshua
1
Charikar, Moses
1
Chen, Qingxin
1
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1
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1
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1
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1
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1
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1
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1
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1
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Mathematics of operations research
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4
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2
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2
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ECONIS (ZBW)
44
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1
On sample average approximation algorithms for determining the optimal importance sampling parameters in pricing financial derivatives on Lévy processes
Jiang, Guangxin
;
Xu, Chenglong
;
Fu, Michael
- In:
Operations research letters
44
(
2016
)
1
,
pp. 44-49
Persistent link: https://www.econbiz.de/10011455555
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2
Importance sampling for jump processes and applications to finance
Badouraly Kassim, Laetitia
;
Lelong, Jérõme
; …
- In:
The journal of computational finance
19
(
2015/2016
)
2
,
pp. 109-139
Persistent link: https://www.econbiz.de/10011442676
Saved in:
3
Technical note: two-stage sample robust optimization
Bertsimas, Dimitris
;
Shtern, Shimrit
;
Sturt, Bradley
- In:
Operations research
70
(
2022
)
1
,
pp. 624-640
Persistent link: https://www.econbiz.de/10012820676
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4
Estimation and asymptotics for buffered probability of exceedance
Mafusalov, Alexander
;
Shapiro, Alexander
;
Uryasev, Stan
- In:
European journal of operational research : EJOR
270
(
2018
)
3
,
pp. 826-836
Persistent link: https://www.econbiz.de/10011882603
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5
Utility-based shortfall risk : efficient computations via Monte Carlo
Hu, Zhaolin
;
Zhang, Dali
- In:
Naval research logistics : an international journal
65
(
2018
)
5
,
pp. 378-392
Persistent link: https://www.econbiz.de/10011969327
Saved in:
6
The empirical likelihood approach to quantifying uncertainty in sample average approximation
Lam, Henry
;
Zhou, Enlu
- In:
Operations research letters
45
(
2017
)
4
,
pp. 301-307
Persistent link: https://www.econbiz.de/10011740327
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7
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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8
Provably near-optimal approximation schemes for implicit stochastic and sample-based dynamic programs
Halman, Nir
- In:
INFORMS journal on computing : JOC
32
(
2020
)
4
,
pp. 1157-1181
Persistent link: https://www.econbiz.de/10012390216
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9
Sampling-based approximation schemes for capacitated stochastic inventory control models
Cheung, Wang Chi
;
Simchi-Levi, David
- In:
Mathematics of operations research
44
(
2019
)
2
,
pp. 668-692
Persistent link: https://www.econbiz.de/10012028641
Saved in:
10
Logarithmic sample bounds for Sample Average Approximation with capacity- or budget-constraints
Bugg, Caleb
;
Aswani, Anil
- In:
Operations research letters
49
(
2021
)
2
,
pp. 231-238
Persistent link: https://www.econbiz.de/10012506656
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