Entropy bounds on Bayesian learning
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DOI: 10.1016/j.jmateco.2007.04.006
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Other versions of this item:
- Gossner, Olivier & Tomala, Tristan, 2008. "Entropy bounds on Bayesian learning," Journal of Mathematical Economics, Elsevier, vol. 44(1), pages 24-32, January.
- Olivier Gossner & Tristan Tomala, 2008. "Entropy bounds on Bayesian learning," PSE-Ecole d'économie de Paris (Postprint) halshs-00754314, HAL.
- Olivier Gossner & Tristan Tomala, 2008. "Entropy bounds on Bayesian learning," Post-Print halshs-00754314, HAL.
References listed on IDEAS
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Games and Economic Behavior, Elsevier, vol. 29(1-2), pages 151-169, October.
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- Ehud Kalai, 1995. "Calibrated Forecasting and Merging," Discussion Papers 1144R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
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Citations
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Cited by:
- Ekmekci, Mehmet & Gossner, Olivier & Wilson, Andrea, 2012.
"Impermanent types and permanent reputations,"
Journal of Economic Theory, Elsevier, vol. 147(1), pages 162-178.
- Mehmet Ekmekci & Olivier Gossner & Andrea Wilson, 2010. "Impermanent Types and Permanent Reputations," Discussion Papers 1511, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Mehmet Ekmekci & Olivier Gossner & Andrea Wilson, 2012. "Impermanent types and permanent reputations," Post-Print halshs-00754608, HAL.
- Mehmet Ekmekci & Olivier Gossner & Andrea Wilson, 2012. "Impermanent types and permanent reputations," PSE-Ecole d'économie de Paris (Postprint) halshs-00754608, HAL.
- Benjamin Van Roy & Xiang Yan, 2009. "Manipulation Robustness of Collaborative Filtering Systems," Working Papers 09-21, NET Institute, revised Sep 2009.
- Benjamin Van Roy & Xiang Yan, 2010. "Manipulation Robustness of Collaborative Filtering," Management Science, INFORMS, vol. 56(11), pages 1911-1929, November.
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- Ehud Kalai & Ehud Lehrer & Rann Smorodinsky, 2010. "Calibrated Forecasting and Merging," Levine's Working Paper Archive 584, David K. Levine.
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Keywords
Bayesian learning; Repeated decision problem; Value of information; Entropy;All these keywords.
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