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A new approach for data editing and imputation
Delgado-Quintero, Sergio; Salazar-González, Juan-José - In: Mathematical methods of operations research 68 (2008) 3, pp. 407-428
Persistent link: https://www.econbiz.de/10003816217
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Numerical policy error bounds for -concave stochastic dynamic programming with non-interior solutions
Li, Huiyu - In: Computational economics 46 (2015) 2, pp. 171-187
Persistent link: https://www.econbiz.de/10011478449
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Robust tracking error portfolio selection with worst-case downside risk measures
Ling, Aifan; Sun, Jie; Yang, Xiaoguang - In: Journal of economic dynamics & control 39 (2014), pp. 178-207
Persistent link: https://www.econbiz.de/10010388754
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Asset pricing models with measurement error problems : a new framework with Compact Genetic Algorithms
Diyarbakirlioglu, Erkin; Desban, Marc; Lajili Jarjir, Souad - In: Finance : revue de l'Association Française de Finance 43 (2022) 2, pp. 1-78
Persistent link: https://www.econbiz.de/10014253276
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Bounding average treatment effects using linear programming
Lafférs, Lukáš - 2015
This paper presents a method of calculating sharp bounds on the average treatment effect using linear programming under identifying assumptions commonly used in the literature. This new method provides a sensitivity analysis of the identifying assumptions and missing data in an application...
Persistent link: https://www.econbiz.de/10011380632
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An evolutionary algorithm for subset selection in causal inference models
Cho, Wendy K. Tam - In: Journal of the Operational Research Society 69 (2018) 4, pp. 630-644
Persistent link: https://www.econbiz.de/10012225765
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Bias in balance optimization subset selection : exploration through examples
Kwon, Hee Youn; Sauppe, Jason J.; Jacobsen, Sheldon H. - In: Journal of the Operational Research Society 70 (2019) 1, pp. 67-80
Persistent link: https://www.econbiz.de/10012211656
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Bounding average treatment effects using linear programming
Lafférs, Lukáš - In: Empirical economics : a journal of the Institute for … 57 (2019) 3, pp. 727-767
Persistent link: https://www.econbiz.de/10012214799
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A computational framework for solving nonlinear binary optimization problems in robust causal inference
Islam, Md Saiful; Morshed, Md Sarowar; Noor-E-Alam, Md - In: INFORMS journal on computing : JOC ; charting new … 34 (2022) 6, pp. 3023-3041
Persistent link: https://www.econbiz.de/10014326334
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Computing synthetic controls using bilevel optimization
Malo, Pekka; Eskelinen, Juha; Zhou, Xun; Kuosmanen, Timo - In: Computational economics 64 (2024) 2, pp. 1113-1136
Persistent link: https://www.econbiz.de/10015078081