First Page | Document Content | |
---|---|---|
Date: 2007-11-26 09:18:49Economic model Prediction Science Ethology Time Social information processing Crowdsourcing The Wisdom of Crowds | Prediction is very hard, especially about the future - Yogi Berra In this chapter, we apply the predictive model framework to explain the possibility of the wisdom of crowds. Our analysis culminates in two theorems: TheAdd to Reading ListSource URL: vserver1.cscs.lsa.umich.eduDownload Document from Source WebsiteFile Size: 134,15 KBShare Document on Facebook |
Trading Bitcoin and Online Time Series Prediction Muhammad J Amjad Operations Research CenterDocID: 1xVYr - View Document | |
Differentially Private, Bounded-Loss Prediction Markets Bo Waggoner UPenn→Microsoft with Rafael FrongilloDocID: 1xVMo - View Document | |
LevPredict A fully collateralized decentralised Ethereum-based binary and multi-category prediction market model Leverj.io V0.3 April 26, 2018 ScopeDocID: 1xVwv - View Document | |
An important note for Faculty, student RAs, and Technical Staff (e.g., lab managers or programmers) RE: confidentiality and information exposure There will be prediction markets operating in April forecasting thDocID: 1xVwe - View Document | |
Hierarchy-Based Link Prediction in Knowledge GraphsDocID: 1xVmk - View Document |