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Calibrating deep classifiers with dynamic confidence propagation and adaptive normalization. [PDF]
He P, Fu W, Wang L, Fu T.
europepmc +1 more source
Gender and anxiety reveal distinct computational sources of underconfidence. [PDF]
Katyal S, Fleming SM.
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Benchmarking reliability and calibration of LLMs for multi-cancer early detection test communication. [PDF]
Takabatake K +5 more
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Judgmental overconfidence: Three measures, one bias?
Journal of Economic Psychology, 2012Abstract Overconfidence is used to explain various instances of detrimental decision making. In behavioral economic and finance models, it is usually captured by misperceiving the reliability of signals and results in overweighting private information.
Fellner, Gerlinde, Krügel, Sebastian
exaly +4 more sources
The Heuristic of Representativeness and Overconfidence Bias in Entrepreneurs
Latin American Business Review, 2019This study investigated the existence of the representativeness heuristic and the manifestation of overconfidence in entrepreneurs.
CARLOS Heitor Campani
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Overconfidence and Self-Serving Bias
2017Overconfidence is manifested by the overestimation or exaggeration of one’s ability to perform a particular task successfully. It may take one of three forms: (i) overestimation of one’s actual performance, (ii) overplacement of one’s performance relative to others and (iii) excessive confidence in own beliefs.
Vikash Ramiah +2 more
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Acquisitions, Overconfident Managers and Self‐attribution Bias
European Financial Management, 2007Abstract We examine whether acquisitions by overconfident managers generate superior abnormal returns and whether managerial overconfidence stems from self‐attribution. Self‐attribution bias suggests that overconfidence plays a greater role in higher order acquisition deals predicting lower wealth effects for higher order acquisition deals.
Petmezas, Dimitris, Doukas, John
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From Noise to Bias: Overconfidence in New Product Forecasting
Management Science, 2020We study decision behavior in the selection, forecasting, and production for a new product. In a stylized behavioral model and five experiments, we generate new insight into when and why this combination of tasks can lead to overconfidence (specifically, overestimating the demand).
Daniel C. Feiler, Jordan D. Tong
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