An Optimization-Based Framework for Combinatorial Prediction Market Design

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An Optimization-Based Framework for Combinatorial Prediction Market Design

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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.
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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 [7587]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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