Probability Theory Plus Noise: Descriptive Estimation and Inferential Judgment

Topics in Cognitive Science

Published in: Topics in Cognitive Science, Volume 10, Issue 1, 192-208 Abstract “We describe a computational model of two central aspects of people’s probabilistic reasoning: descriptive probability estimation and inferential probability judgment. This model assumes that people’s reasoning follows standard frequentist probability theory, but it is subject to random noise. This random noise has a regressive […]

Probability Theory Plus Noise: Descriptive Estimation and Inferential Judgment Read Post »