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An information-based approximation scheme for stochastic optimization problems in continuous time
Kuhn, Daniel - In: Mathematics of operations research 34 (2009) 2, pp. 418-444
Persistent link: https://www.econbiz.de/10003870296
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Robust Markov decision processes
Wiesemann, Wolfram; Kuhn, Daniel; Rustem, Berç - In: Mathematics of operations research 38 (2013) 1, pp. 153-183
Persistent link: https://www.econbiz.de/10009727680
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Chebyshev inequalities for products of random variables
Rujeerapaiboon, Napat; Kuhn, Daniel; Wiesemann, Wolfram - In: Mathematics of operations research 43 (2018) 3, pp. 887-918
Persistent link: https://www.econbiz.de/10011914382
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An Information-Based Approximation Scheme for Stochastic Optimization Problems in Continuous Time
Kuhn, Daniel - In: Mathematics of operations research 34 (2009) 2, pp. 428-444
Persistent link: https://www.econbiz.de/10008255203
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Robust Markov Decision Processes
Wiesemann, Wolfram; Kuhn, Daniel; Rustem, Berç - In: Mathematics of operations research 38 (2013) 1, pp. 153-183
Persistent link: https://www.econbiz.de/10010084135
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Bridging Bayesian and minimax mean square error estimation via Wasserstein distributionally robust optimization
Viet Anh Nguyen; Shafieezadeh-Abadeh, Soroosh; Kuhn, Daniel - In: Mathematics of operations research 48 (2023) 1, pp. 1-37
Persistent link: https://www.econbiz.de/10014312313