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Importance sampling in stochastic optimization : an application to intertemporal portfolio choice
Ekblom, J.; Blomvall, J. - In: European journal of operational research : EJOR 285 (2020) 1, pp. 106-119
Persistent link: https://www.econbiz.de/10012239487
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Rare-event simulation for distribution networks
Blanchet, Jose; Li, Juan; Nakayama, Marvin K. - In: Operations research 67 (2019) 5, pp. 1383-1396
Persistent link: https://www.econbiz.de/10012107789
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A tabu search algorithm for the probabilistic orienteering problem
Chou, Xiaochen; Gambardella, Luca Maria; Montemanni, Roberto - In: Computers & operations research : and their … 126 (2021), pp. 1-10
Persistent link: https://www.econbiz.de/10012425867
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A note on sample complexity of multistage stochastic programs
Reaiche, M. M. C. R. - In: Operations research letters 44 (2016) 4, pp. 430-435
Persistent link: https://www.econbiz.de/10011535313
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An efficient simulation optimization method for the generalized redundancy allocation problem
Chang, Kuo-Hao; Kuo, Po-Yi - In: European journal of operational research : EJOR 265 (2018) 3, pp. 1094-1101
Persistent link: https://www.econbiz.de/10011778928
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Importance sampling in stochastic programming : a Markov chain Monte Carlo approach
Parpas, Panos; Ustun, Berk; Webster, Mort; Tran, Quang Kha - In: INFORMS journal on computing : JOC 27 (2015) 2, pp. 358-377
Persistent link: https://www.econbiz.de/10011291297
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A sample average approximation method for disassemblx line balancing problem under uncertainty
Bentaha, Mohand Lounes; Battaïa, Olga; Dolgui, Alexandre - In: Computers & operations research : and their … 51 (2014), pp. 111-122
Persistent link: https://www.econbiz.de/10010408891
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Multiobjective interacting particle algorithm for global optimization
Mete, Huseyin Onur; Zabinsky, Zelda B. - In: INFORMS journal on computing : JOC 26 (2014) 3, pp. 500-513
Persistent link: https://www.econbiz.de/10010399777
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GLS Estimation and Empirical Bayes Prediction for Linear Mixed Models with Heteroskedasticity and Sampling Weights : A Background Study for the POVMAP Project
van der Weide, Roy - 2014
prediction for linear mixed models with sampling weights. The objective is to incorporate these results into the poverty mapping …
Persistent link: https://www.econbiz.de/10012572280
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GLS Estimation and Empirical Bayes Prediction for Linear Mixed Models with Heteroskedasticity and Sampling Weights : A Background Study for the POVMAP Project
van der Weide, Roy - 2014
prediction for linear mixed models with sampling weights. The objective is to incorporate these results into the poverty mapping …
Persistent link: https://www.econbiz.de/10011396309