Information Elicitation Meets Clustering
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- A. P. Dawid & A. M. Skene, 1979. "Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 28(1), pages 20-28, March.
- Dražen Prelec & H. Sebastian Seung & John McCoy, 2017. "A solution to the single-question crowd wisdom problem," Nature, Nature, vol. 541(7638), pages 532-535, January.
- David V. Budescu & Eva Chen, 2015. "Identifying Expertise to Extract the Wisdom of Crowds," Management Science, INFORMS, vol. 61(2), pages 267-280, February.
- Hsin-Hsiung Huang & Jie Yang, 2020. "Affine-transformation invariant clustering models," Journal of Statistical Distributions and Applications, Springer, vol. 7(1), pages 1-24, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Jaspersen, Johannes G., 2022. "Convex combinations in judgment aggregation," European Journal of Operational Research, Elsevier, vol. 299(2), pages 780-794.
- Tang, Ming & Liao, Huchang, 2024. "Group efficiency and individual fairness tradeoff in making wise decisions," Omega, Elsevier, vol. 124(C).
- Jon Atwell & Marlon Twyman II, 2023. "Metawisdom of the Crowd: How Choice Within Aided Decision Making Can Make Crowd Wisdom Robust," Papers 2308.15451, arXiv.org.
- Cem Peker, 2023. "Extracting the collective wisdom in probabilistic judgments," Theory and Decision, Springer, vol. 94(3), pages 467-501, April.
- Tom Wilkening & Marcellin Martinie & Piers D. L. Howe, 2022. "Hidden Experts in the Crowd: Using Meta-Predictions to Leverage Expertise in Single-Question Prediction Problems," Management Science, INFORMS, vol. 68(1), pages 487-508, January.
- Nir Billfeld & Moshe Kim, 2019. "Semiparametric correction for endogenous truncation bias with Vox Populi based participation decision," Papers 1902.06286, arXiv.org.
- Asa B. Palley & Jack B. Soll, 2019. "Extracting the Wisdom of Crowds When Information Is Shared," Management Science, INFORMS, vol. 67(5), pages 2291-2309, May.
- Liu, Fang & Chen, Ya-Ru & Zhou, Da-Hai, 2023. "A two-dimensional approach to flexibility degree of XOR numbers with application to group decision making," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 207(C), pages 267-287.
- Vitalii Antoshchuk & Volodymyr Filippov & Varvara Kuvaieva, 2021. "Development of methodological support for improving the quality of expert assessment of business processes," Technology audit and production reserves, Socionet;Technology audit and production reserves, vol. 1(4(57)), pages 22-27.
- Dan Zhu & Qingwei Wang & John Goddard, 2022. "A new hedging hypothesis regarding prediction interval formation in stock price forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(4), pages 697-717, July.
- Huang, He & Chen, Yahong & Ma, Yefeng, 2021. "Modeling the competitive diffusions of rumor and knowledge and the impacts on epidemic spreading," Applied Mathematics and Computation, Elsevier, vol. 388(C).
- Bernd Frick & Franziska Prockl, 2018. "Information Precision In Online Communities: Player Valuations On Www.Transfermarkt.De," Working Papers Dissertations 37, Paderborn University, Faculty of Business Administration and Economics.
- repec:cup:judgdm:v:14:y:2019:i:4:p:395-411 is not listed on IDEAS
- Yuqing Kong, 2019. "Dominantly Truthful Multi-task Peer Prediction with a Constant Number of Tasks," Papers 1911.00272, arXiv.org.
- Dai, Min & Jia, Yanwei & Kou, Steven, 2021. "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 561-578.
- Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022.
"Do expert experience and characteristics affect inflation forecasts?,"
Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 205-226.
- Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2020. "Do Expert Experience and Characteristics Affect Inflation Forecasts?," Bank of Israel Working Papers 2020.11, Bank of Israel.
- Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2022. "Do expert experience and characteristics affect inflation forecasts?," Post-Print emse-04624966, HAL.
- Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2020. "Do Expert Experience and Characteristics Affect Inflation Forecasts?," CFDS Discussion Paper Series 2020/6, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
- Funk, Patrick & Davis, Alex & Vaishnav, Parth & Dewitt, Barry & Fuchs, Erica, 2020. "Individual inconsistency and aggregate rationality: Overcoming inconsistencies in expert judgment at the technical frontier," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
- Brown, Alasdair & Reade, J. James, 2019. "The wisdom of amateur crowds: Evidence from an online community of sports tipsters," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1073-1081.
- Bergemann, Dirk & Ottaviani, Marco, 2021.
"Information Markets and Nonmarkets,"
CEPR Discussion Papers
16459, C.E.P.R. Discussion Papers.
- Dirk Bergemann & Marco Ottaviani, 2021. "Information Markets and Nonmarkets," Cowles Foundation Discussion Papers 2296, Cowles Foundation for Research in Economics, Yale University.
- Patrick Afflerbach & Christopher Dun & Henner Gimpel & Dominik Parak & Johannes Seyfried, 2021. "A Simulation-Based Approach to Understanding the Wisdom of Crowds Phenomenon in Aggregating Expert Judgment," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 329-348, August.
- Xiaoxiao Yang & Jing Zhang & Jun Peng & Lihong Lei, 2021. "Incentive mechanism based on Stackelberg game under reputation constraint for mobile crowdsensing," International Journal of Distributed Sensor Networks, , vol. 17(6), pages 15501477211, June.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-MIC-2021-10-11 (Microeconomics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2110.00952. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.