An Optimization-Based Framework for Combinatorial Prediction Market Design
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An Optimization-Based Framework for Combinatorial Prediction Market Design
| Title: | An Optimization-Based Framework for Combinatorial Prediction Market Design |
| Author: | Chen, Yiling |
| Citation: | Abernethy, Jacob, Yiling Chen, and Jennifer Wortman Vaughan. 2010. An optimization-based framework for combinatorial prediction market design. In Computational Social Science and the Wisdom of Crowds, Neural Information Processing Systems (NIPS) Foundation, Whistler, British Columbia, 10 December 2010. |
| Full Text & Related Files: |
abernethy_nips10.pdf (75.22Kb; PDF) 
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| Abstract: | We build on ideas from convex optimization to create a general framework for the design of efficient prediction markets over very large outcome spaces. |
| Other Sources: | http://arxiv.org/abs/arXiv:1011.1941 |
| Terms of Use: | This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA |
| Citable link to this page: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:5128481 |
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FAS Scholarly Articles [5133]
Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
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