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Considering sample means in Rinott's procedure with a Bayesian approach
Yoon, Moonyoung; Bekker, James - In: European journal of operational research : EJOR 273 (2019) 1, pp. 249-258
Persistent link: https://www.econbiz.de/10011979508
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Refined knowledge-gradient policy for learning probabilities
Kamiński, Bogumił - In: Operations research letters 43 (2015) 2, pp. 143-147
Persistent link: https://www.econbiz.de/10010515797
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A fully sequential elimination procedure for indifference-zone ranking and selection with tight bounds on probability of correct selection
Frazier, Peter I. - In: Operations research 62 (2014) 4, pp. 926-942
Persistent link: https://www.econbiz.de/10010403101
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Computation of expected shortfall by fast detection of worst scenarios
Bouchard, Bruno; Reghai, Adil; Virrion, Benjamin - In: Quantitative finance 21 (2021) 7, pp. 1087-1108
Persistent link: https://www.econbiz.de/10012588021
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Posterior-based stopping rules for Bayesian ranking-and-selection procedures
Eckman, David J.; Henderson, Shane G. - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 3, pp. 1711-1728
Persistent link: https://www.econbiz.de/10013361835
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Bayesian sequential learning for clinical trials of multiple orrelated medical interventions
Chick, Stephen E.; Gans, Noah; Yapar, Ozge - 2018
Persistent link: https://www.econbiz.de/10012042417
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Bayesian sequential learning for clinical trials of multiple correlated medical interventions
Chick, Stephen E.; Gans, Noah; Yapar, Özge - In: Management science : journal of the Institute for … 68 (2022) 7, pp. 4919-4938
Persistent link: https://www.econbiz.de/10013369238
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Bayesian maximum eigenvalue and trace statistics for the cointegration error correction model
Strachan, Rodney W.; Inder, Brett A. - 2000
Persistent link: https://www.econbiz.de/10001554440
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Uncertainty in Systemic Risks Rankings : Bayesian and Frequentist Analysis
Goldman, Elena - 2023
In this paper we propose efficient Bayesian Hamiltonian Monte Carlo method for estimation of systemic risk measures …
Persistent link: https://www.econbiz.de/10014355991
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A Bayesian Generalized Rank Ordered Logit Model : An Empirical Application
Cheng, Haotian; Ng’ombe, John N.; Lambert, Dayton - 2022
Researchers typically use rank ordered logit regression to analyze consumer preference data collected with Best-Worst Scaling (BWS) surveys. We propose a generalized rank ordered logit (GROL) model that accommodates scale and preference heterogeneity. Both the GROL and mixed rank ordered logit...
Persistent link: https://www.econbiz.de/10014077685