Combining Interval Forecasts
Published Online:21 Feb 2017https://doi.org/10.1287/deca.2016.0340
References
- (2008) A comparison of two probability encoding methods: Fixed probability vs. fixed variable values. Decision Anal. 5(4):190–202.Link, Google Scholar
- (1969) A progress report on the training of probability assessors. Working paper, Harvard Business School, Cambridge, MA.Google Scholar
- (2001) Combining forecasts. Armstrong JS, ed. Principles of Forecasting: A Handbook for Researchers and Practitioners (Kluwer Academic, Norwell, MA), 417–439.Crossref, Google Scholar
- (2015) Identifying expertise to extract the wisdom of crowds. Management Sci. 61(2):267–280.Link, Google Scholar
- (2007) Coherence and consistency of investors’ probability judgments. Management Sci. 53(11):1731–1744.Link, Google Scholar
- (1989) Combining forecasts: A review and annotated bibliography. Internat. J. Forecasting 5(4):559–583.Crossref, Google Scholar
- (1985) Limits for the precision and value of information from dependent sources. Oper. Res. 33(2):427–442.Link, Google Scholar
- (2007) Aggregating probability distributions. Edwards W, Miles RF, von Winterfeldt D, eds. Advances in Decision Analysis (Cambridge University Press, Cambridge, UK), 154–176.Crossref, Google Scholar
- (1991) Experts in Uncertainty: Opinion and Subjective Probability in Science (Oxford University Press, Oxford, UK).Crossref, Google Scholar
- (2008) TU Delft expert judgment data base. Reliability Engrg. System Safety 93(5):657–674.Crossref, Google Scholar
- (1986) Combining probability distributions: A critique and an annotated bibliography. Statist. Sci. 1(1):114–135.Crossref, Google Scholar
- (2013) True overconfidence in interval estimates: Evidence based on a new measure of miscalibration. J. Behav. Decision Making 26(5):405–417.Crossref, Google Scholar
- (2016) Ensembles of overfit and overconfident forecasts. Management Sci., ePub ahead of print April 20, http://dx.doi.org/10.1287/mnsc.2015.2389.Link, Google Scholar
- (2010) A simple remedy for overprecision in judgment. Judgment Decision Making 5(7):467–476.Crossref, Google Scholar
- (2004) Probability judgments for continuous quantities: Linear combinations and calibration. Management Sci. 50(5):597–604.Link, Google Scholar
- (2013) Median aggregation of distribution functions. Decision Anal. 10(4):279–291.Link, Google Scholar
- (2013) Unpacking the future: A nudge toward wider subjective confidence intervals. Management Sci. 59(9):1970–1987.Link, Google Scholar
- (2009) Evaluating quantile assessments. Oper. Res. 57(5):1287–1297.Link, Google Scholar
- (2014) Trimmed opinion pools and the crowd’s calibration problem. Management Sci. 60(2):463–475.Link, Google Scholar
- (1999) Overconfidence: It depends on how, what, and whom you ask. Organ. Behav. Human Decision Processes 79(3):216–247.Crossref, Google Scholar
- (2013) Is it better to average probabilities or quantiles? Management Sci. 59(7):1594–1611.Link, Google Scholar
- (1982) Calibration of probabilities: The state of the art to 1980. Kahneman D, Slovic P, Tversky A, eds. Judgment Under Uncertainty: Heuristics and Biases (Cambridge University Press, Cambridge, UK), 305–334.Crossref, Google Scholar
- (2014) The wisdom of select crowds. J. Personality Soc. Psych. 107(2):276–299.Crossref, Google Scholar
- (1995) Project Management with CPM, PERT and Precedence Diagramming (Blitz Publishing Co., Middleton, WI).Google Scholar
- (2015) Aggregating multiple probability intervals to improve calibration. Judgment Decision Making 10(2):130–143.Google Scholar
- (2010) Combining probability forecasts. J. Roy. Statist. Soc. B 72(1):71–91.Crossref, Google Scholar
- (1992) Perspectives on expertise in the aggregation of judgments. Wright G, Bolger F, eds. Expertise and Decision Support (Plenum, New York), 155–180.Crossref, Google Scholar
- (2004) Overconfidence in interval estimates. J. Experiment. Psych.: Learn., Memory, Cognition 30(2):299–314.Crossref, Google Scholar
- (2004) The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies, and Nations (Doubleday, New York).Google Scholar
- (2005) When 90% confidence intervals are 50% certain: On the credibility of credible intervals. Appl. Cognitive Psych. 19(4):455–475.Crossref, Google Scholar
- (1997) Weighting and trimming: Heuristics for aggregating judgments under uncertainty. Organ. Behav. Human Decision Processes 69(3):237–249.Crossref, Google Scholar

