High Dimensional Decision Making, Upper and Lower Bounds
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- Al-Najjar, Nabil I. & Pai, Mallesh M., 2014. "Coarse decision making and overfitting," Journal of Economic Theory, Elsevier, vol. 150(C), pages 467-486.
- Luciano Pomatto & Philipp Strack & Omer Tamuz, 2018. "The Cost of Information: The Case of Constant Marginal Costs," Papers 1812.04211, arXiv.org, revised Feb 2023.
- Nabil I. Al-Najjar & Luca Anderlini & Leonardo Felli, 2006.
"Undescribable Events,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(4), pages 849-868.
- Nabil I. Al-Najjar & Luca Anderlini & Leonardo Felli, 2003. "Undescribable Events," CESifo Working Paper Series 1092, CESifo.
- Hamsa Bastani & Mohsen Bayati, 2020. "Online Decision Making with High-Dimensional Covariates," Operations Research, INFORMS, vol. 68(1), pages 276-294, January.
- Li, Jian, 2019. "The K-armed bandit problem with multiple priors," Journal of Mathematical Economics, Elsevier, vol. 80(C), pages 22-38.
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This paper has been announced in the following NEP Reports:- NEP-UPT-2021-05-10 (Utility Models and Prospect Theory)
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