A Review of Probabilistic Opinion Pooling Algorithms with Application to Insider Threat Detection
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DOI: 10.1287/deca.2019.0399
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References listed on IDEAS
- Dietrich, Franz & List, Christian, 2014.
"Probabilistic Opinion Pooling,"
MPRA Paper
54806, University Library of Munich, Germany.
- Franz Dietrich & Christian List, 2016. "Probabilistic opinion pooling," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00978032, HAL.
- Franz Dietrich & Christian List, 2016. "Probabilistic opinion pooling," PSE-Ecole d'économie de Paris (Postprint) halshs-00978032, HAL.
- Franz Dietrich & Christian List, 2016. "Probabilistic opinion pooling," Post-Print halshs-00978032, HAL.
- Ferretti, Valentina & Guney, Sule & Montibeller, Gilberto & Winterfeldt, Detlof von, 2016. "Testing best practices to reduce the overconfidence bias in multi-criteria decision analysis," LSE Research Online Documents on Economics 67179, London School of Economics and Political Science, LSE Library.
- Satopää, Ville A. & Baron, Jonathan & Foster, Dean P. & Mellers, Barbara A. & Tetlock, Philip E. & Ungar, Lyle H., 2014. "Combining multiple probability predictions using a simple logit model," International Journal of Forecasting, Elsevier, vol. 30(2), pages 344-356.
- repec:wrk:wrkemf:02 is not listed on IDEAS
- Jonathan Baron & Barbara A. Mellers & Philip E. Tetlock & Eric Stone & Lyle H. Ungar, 2014. "Two Reasons to Make Aggregated Probability Forecasts More Extreme," Decision Analysis, INFORMS, vol. 11(2), pages 133-145, June.
- Arthur Carvalho, 2016. "An Overview of Applications of Proper Scoring Rules," Decision Analysis, INFORMS, vol. 13(4), pages 223-242, December.
- Roopesh Ranjan & Tilmann Gneiting, 2010. "Combining probability forecasts," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(1), pages 71-91, January.
- Tilmann Gneiting & Fadoua Balabdaoui & Adrian E. Raftery, 2007. "Probabilistic forecasts, calibration and sharpness," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(2), pages 243-268, April.
- Christopher W. Karvetski & Kenneth C. Olson & David R. Mandel & Charles R. Twardy, 2013. "Probabilistic Coherence Weighting for Optimizing Expert Forecasts," Decision Analysis, INFORMS, vol. 10(4), pages 305-326, December.
- Robert F. Bordley, 1982. "A Multiplicative Formula for Aggregating Probability Assessments," Management Science, INFORMS, vol. 28(10), pages 1137-1148, October.
- Graziani, Rebecca & Veronese, Piero, 2009. "How to Compute a Mean? The Chisini Approach and Its Applications," The American Statistician, American Statistical Association, vol. 63(1), pages 33-36.
- Unknown, 2014. "Department Publications 2013," Publications Lists 206935, University of Minnesota, Department of Applied Economics.
- Anil Gaba & Ilia Tsetlin & Robert L. Winkler, 2017. "Combining Interval Forecasts," Decision Analysis, INFORMS, vol. 14(1), pages 1-20, March.
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Keywords
forecasting; forecast fusion; insider threat; opinion pool;All these keywords.
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