Comment on Brian T. McCann's 'Bayesian updating'

Autor: Runde, J, Feduzi, A, Cabantous, L
Přispěvatelé: Runde, Jochen [0000-0001-9596-5144], Apollo - University of Cambridge Repository
Rok vydání: 2021
DOI: 10.17863/cam.69575
Popis: In a recent article in this Journal, Brian McCann argues that making good decisions in the face of increasing uncertainty about the future requires thinking in probabilistic terms and acting as someone who “defines the set of possible outcomes [of some alternative] along with their associated values and probabilities … [and] then chooses the alternative that maximizes expected value” (p. 26). McCann observes that the quality of decisions made in this way depends on the accuracy of the probability estimates employed, and the purpose of his article is to advocate Bayesian updating as a means of increasing such accuracy.
Databáze: OpenAIRE